RSS

「ニューラルネットワーク」 - おすすめピックアップ動画

※本サイトに掲載されているチャンネル情報や動画情報はYouTube公式のAPIを使って取得・表示しています。

Videos

動画一覧

動画数:17018件

Machine Learning for Everybody – Full Course

Machine Learning for Everybody – Full Course

Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts. ✏️ Kylie Ying developed this course. Check out her channel: https://www.youtube.com/c/YCubed ⭐️ Code and Resources ⭐️ 🔗 Supervised learning (classification/MAGIC): https://colab.research.google.com/drive/16w3TDn_tAku17mum98EWTmjaLHAJcsk0?usp=sharing 🔗 Supervised learning (regression/bikes): https://colab.research.google.com/drive/1m3oQ9b0oYOT-DXEy0JCdgWPLGllHMb4V?usp=sharing 🔗 Unsupervised learning (seeds): https://colab.research.google.com/drive/1zw_6ZnFPCCh6mWDAd_VBMZB4VkC3ys2q?usp=sharing 🔗 Dataets (add a note that for the bikes dataset, they may have to open the downloaded csv file and remove special characters) 🔗 MAGIC dataset: https://archive.ics.uci.edu/ml/datasets/MAGIC+Gamma+Telescope 🔗 Bikes dataset: https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand 🔗 Seeds/wheat dataset: https://archive.ics.uci.edu/ml/datasets/seeds 🏗 Google provided a grant to make this course possible. ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:00:58) Data/Colab Intro ⌨️ (0:08:45) Intro to Machine Learning ⌨️ (0:12:26) Features ⌨️ (0:17:23) Classification/Regression ⌨️ (0:19:57) Training Model ⌨️ (0:30:57) Preparing Data ⌨️ (0:44:43) K-Nearest Neighbors ⌨️ (0:52:42) KNN Implementation ⌨️ (1:08:43) Naive Bayes ⌨️ (1:17:30) Naive Bayes Implementation ⌨️ (1:19:22) Logistic Regression ⌨️ (1:27:56) Log Regression Implementation ⌨️ (1:29:13) Support Vector Machine ⌨️ (1:37:54) SVM Implementation ⌨️ (1:39:44) Neural Networks ⌨️ (1:47:57) Tensorflow ⌨️ (1:49:50) Classification NN using Tensorflow ⌨️ (2:10:12) Linear Regression ⌨️ (2:34:54) Lin Regression Implementation ⌨️ (2:57:44) Lin Regression using a Neuron ⌨️ (3:00:15) Regression NN using Tensorflow ⌨️ (3:13:13) K-Means Clustering ⌨️ (3:23:46) Principal Component Analysis ⌨️ (3:33:54) K-Means and PCA Implementations 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年09月27日
00:00:00 - 03:53:53
No Black Box Machine Learning Course – Learn Without Libraries

No Black Box Machine Learning Course – Learn Without Libraries

In this No Black Box Machine Learning Course in JavaScript, you will gain a deep understanding of machine learning systems by coding without relying on libraries. This unique approach not only demystifies the inner workings of machine learning but also significantly enhances software development skills. ✏️ Course created by @Radu (PhD in Computer Science) 🎥 Watch part two: https://youtu.be/3wwiOSxDAmg HOMEWORK 🏠 1st assignment spreadsheet: https://docs.google.com/spreadsheets/d/16wIddJ9jKAAvJOXPcF0gNRx39AOE9A2-mQeK6UR2qnY/edit?usp=sharing 🏠 Submit all other assignments to Radu's Discord Server: https://discord.com/invite/gJFcF5XVn9 GITHUB LINKS 💻 Drawing App: https://github.com/gniziemazity/drawing-app 💻 Data: https://github.com/gniziemazity/drawing-data 💻 Custom Chart Component: https://github.com/gniziemazity/javascript_chart 💻 Full Course Code (In Parts): https://github.com/gniziemazity/ml-course PREREQUISITES 🎥 Interpolation: https://youtu.be/J_puRs40GhM 🎥 Linear Algebra: https://youtu.be/nzyOCd9FcCA 🎥 Trigonometry: https://youtu.be/xK3vKWMFVgw LINKS 🔗 Check out the Recognizer we'll build in this course: https://radufromfinland.com/projects/ml/recognizer 🔗 Draw for Radu, Call for help video: https://youtu.be/Yw2QZ1vq2ek 🔗 Draw for Radu, Data collection tool: https://radufromfinland.com/projects/ml 🔗 Radu's Self-driving Car Course: https://www.youtube.com/playlist?list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY 🔗 Radu's older Machine Learning video: https://youtu.be/QXB1ytG95gs 🔗 CHART TUTORIAL (mentioned at 01:45:27): https://youtu.be/n8uCt1TSGKE 🔗 CHART CODE: https://github.com/gniziemazity/javascript_chart TOOLS 🔧 Visual Studio Code: https://code.visualstudio.com/download 🔧 Google Chrome: https://www.google.com/chrome 🔧 Node JS: https://nodejs.org/en/download (make sure you add 'node' and 'npm' to the PATH environment variables when asked!) TIMESTAMPS ⌨️(0:00:00) Introduction ⌨️(0:05:04) Drawing App ⌨️(0:46:46) Homework 1 ⌨️(0:47:05) Working with Data ⌨️(1:08:54) Data Visualizer ⌨️(1:29:52) Homework 2 ⌨️(1:30:05) Feature Extraction ⌨️(1:38:07) Scatter Plot ⌨️(1:46:12) Custom Chart ⌨️(2:01:03) Homework 3 ⌨️(2:01:35) Nearest Neighbor Classifier ⌨️(2:43:21) Homework 4 (better box) ⌨️(2:43:53) Data Scaling ⌨️(2:54:45) Homework 5 ⌨️(2:55:23) K Nearest Neighbors Classifier ⌨️(3:04:18) Homework 6 ⌨️(3:04:49) Model Evaluation ⌨️(3:21:29) Homework 7 ⌨️(3:22:01) Decision Boundaries ⌨️(3:39:26) Homework 8 ⌨️(3:39:59) Python & SkLearn ⌨️(3:50:35) Homework 9
2023年04月17日
00:00:00 - 03:51:31
How to Get a Developer Job – Even in This Economy [Full Course]

How to Get a Developer Job – Even in This Economy [Full Course]

This course will help you find a programming job and is specifically designed for self-taught developers. The course covers covers everything from job search strategy, resumes, networking, interviewing, and a lot more. Let's lets start learning. Follow along interactively on Boot.dev: https://www.boot.dev/learn/learn-job-search Read freeCodeCamp founder Quincy Larson's free book "How to Learn to Code and Get a Developer Job": https://www.freecodecamp.org/news/learn-to-code-book/ Learn back-end on Boot.dev: https://boot.dev Follow Lane on Twitter: https://twitter.com/wagslane Lane’s YouTube: https://youtube.com/@bootdotdev Backend Banter Podcast: https://www.youtube.com/@backendbanterfm ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:04:18) Ch 1. Job Search Strategy ⌨️ (0:21:52) Ch 2. Portfolio Projects ⌨️ (0:53:33) Ch 3. Github Profile ⌨️ (1:06:45) Ch 4. Linkedin ⌨️ (1:20:52) Ch 5. Resume ⌨️ (1:47:52) Ch 6. Applying ⌨️ (2:03:15) Ch 7. Networking ⌨️ (2:38:23) Ch 8. Interviewing ⌨️ (3:37:49) Ch 9. Relocation ⭐️ Guests and mentions ⭐️ TJ Devries: https://www.youtube.com/@teej_dv ThePrimeagen: https://www.youtube.com/@ThePrimeTimeagen Bill Kennedy: https://twitter.com/goinggodotnet Miriah Peterson: https://www.linkedin.com/in/miriah-peterson-35649b5b/ Theo Browne: https://www.youtube.com/@t3dotgg Don the Developer: https://www.youtube.com/@DonTheDeveloper Kent C Dodds: https://www.youtube.com/@KentCDodds-vids James Q Quick: https://www.youtube.com/@JamesQQuick Melkey: https://www.youtube.com/@MelkeyDev Eddie Jaoude: https://github.com/eddiejaoude Danny Thompson: https://www.linkedin.com/in/dthompsondev/ Need help? Join the Boot.dev Discord: https://boot.dev/community FreeCodeCamp Discord: https://www.freecodecamp.org/news/freecodecamp-discord-chat-room-server/ 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年01月19日
00:00:00 - 03:59:46
Data Analysis with Python for Excel Users - Full Course

Data Analysis with Python for Excel Users - Full Course

Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook. 💻 Source Code & Datasets: https://github.com/ifrankandrade/python-course-for-excel-users 🔗 Datasets: https://drive.google.com/drive/folders/12hFh6RPlX5bWzSqpoMvAeT94RCjCvHw5?usp=sharing ✏️ Course developed by Frank Andrade. 🔗 YouTube Channel: https://www.youtube.com/c/FrankAndrade5 🔗 PDF Python Cheat Sheet for this Course: https://artificialcorner.com/p/redeem-my-udemy-courses-for-free 🔗 My Complete Python Courses for Data Analysis & Data Science: https://www.udemy.com/user/frank-andrade-13/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda ⌨️ (0:03:53) Jupyter Notebook Interface ⌨️ (0:13:56) Cell Types and Cell Mode ⌨️ (0:21:34) Jupyter Notebook Shortcuts ⌨️ (0:26:39) Module 1 - Hello World ⌨️ (0:30:30) Data Type ⌨️ (0:39:10) Variables ⌨️ (0:46:53) Lists ⌨️ (1:11:14) Dictionaries ⌨️ (1:21:50) IF Statement ⌨️ (1:28:04) FOR Loop ⌨️ (1:33:49) Functions ⌨️ (1:40:59) Modules ⌨️ (1:44:41) Module 2 -Introduction to Pandas ⌨️ (1:51:08) How to create a dataframe ⌨️ (2:07:34) How to show a dataframe ⌨️ (2:14:24) Basic Attributes, Functions and Methods ⌨️ (2:26:17) Selecting One Column from a Dataframe ⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe ⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment) ⌨️ (2:47:51) Operations in dataframes ⌨️ (2:56:04) The value_counts() method ⌨️ (3:00:16) Sort a DataFrame with the sort_values() method ⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas ⌨️ (3:14:42) The pivot() method ⌨️ (3:20:49) The pivot_table() method ⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table) ⌨️ (3:38:38) Lineplot ⌨️ (3:43:05) Barplot ⌨️ (3:50:52) Piechart ⌨️ (3:54:36) Save Plot and Export Pivot Table 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2021年11月25日
00:00:00 - 03:57:46
How Deep Neural Networks Work - Full Course for Beginners

How Deep Neural Networks Work - Full Course for Beginners

Even if you are completely new to neural networks, this course will get you comfortable with the concepts and math behind them. Neural networks are at the core of what we are calling Artificial Intelligence today. They can seem impenetrable, even mystical, if you are trying to understand them for the first time, but they don't have to. ⭐️ Contents ⭐️ ⌨️ (0:00:00) How neural networks work ⌨️ (0:24:13) What neural networks can learn and how they learn it ⌨️ (0:51:37) How convolutional neural networks (CNNs) work ⌨️ (1:16:55) How recurrent neural networks (RNNs) and long-short-term memory (LSTM) work ⌨️ (1:42:49) Deep learning demystified ⌨️ (2:03:33) Getting closer to human intelligence through robotics ⌨️ (2:49:18) How CNNs work, in depth 🎥 Lectures by Brandon Rohrer. Check out his YouTube channel: https://www.youtube.com/user/BrandonRohrer 🔗 Find more courses from Brandon at https://end-to-end-machine-learning.teachable.com/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology: https://youtube.com/subscription_center?add_user=freecodecamp #machine learning #deep learning #neural networks #artificial intelligence #logistic regression #probability #math #computer science #statistics #deep learning course #deep learning tutorial #neural networks for beginners #deep neural network #convolutional neural networks #recurrent neural networks #long-short-term memory #ai
2019年04月17日
00:00:00 - 03:50:57
PySpark Full Course [2024] |  Learn PySpark | PySpark Tutorial | Edureka

PySpark Full Course [2024] | Learn PySpark | PySpark Tutorial | Edureka

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/pyspark-certification-training This Edureka PySpark Full Course video will help you understand and learn PySpark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master PySpark concepts. 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔵 GCP Online Training: http://bit.ly/3VkCzS3 🌕 Microservices Online Training: http://bit.ly/3gxYqqv 🔵 Data Science Online Training: http://bit.ly/3V3nLrc 🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj 🔵 Angular Online Training: http://bit.ly/3EYcCTe 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP 🔵 Web Development Masters Program: http://bit.ly/3U9R5va 🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: http://bit.ly/3OuZ3xs 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information. #yt:cc=on #pyspark full course #pyspark full course 2023 #complete pyspark course #Pyspark tutorial for beginners #pyspark tutorial #pyspark online training #Pyspark training #pyspark tutorial jupyter notebook #Introduction to PySpark for Beginners #spark with python #data analytics using pyspark #apache spark with python #pyspark dataframes #pyspark rdd #introduction to pyspark #pyspark api #what is pyspark #pyspark edureka #apache spark edureka #edureka
2023年02月02日
00:00:00 - 03:58:31
AWS Certified Cloud Practitioner Training 2020 - Full Course

AWS Certified Cloud Practitioner Training 2020 - Full Course

This course will help you become an AWS Certified Cloud Practitioner. You will get a complete understanding of the AWS Cloud platform and be prepared to take the certification exam. This knowledge and certification will open up job opportunities. You will be able to prove your expertise in AWS and cloud computing. The exam can be taken anywhere as an online proctored exam. 🎥 Course developed by Andrew Brown of ExamPro. Check out the ExamPro YouTube channel: https://www.youtube.com/channel/UC2EsmbKnDNE7y1N3nZYCuGw 🔗 ExamPro AWS Obsessed Certification Training: https://www.exampro.co 🔗 LinkedIn: https://www.linkedin.com/company/exam... 🐦 Twitter: https://twitter.com/examproco 📷 Instagram: https://www.instagram.com/exampro.co/ ⭐️ Course Contents ⭐️ ☁️ Introduction ⌨️ (0:00:00) Meet Your Instructor Andrew Brown ⌨️ (0:00:40) Why Get AWS Cloud Practitioner Certified? ⌨️ (0:06:40) Exam Guide Overview ☁️ Cloud Concepts ⌨️ (0:09:57) What is Cloud Computing? ⌨️ (0:12:10) Six Advantages and Benefits of Cloud Computing ⌨️ (0:14:42) Types of Cloud Computing ⌨️ (0:16:48) Cloud Computing Deployment Models ☁️ AWS Global Infrastructure ⌨️ (0:19:27) Introduction and Map Overview ⌨️ (0:20:30) Regions ⌨️ (0:24:30) Availability Zones ⌨️ (0:25:42) Edge Locations ⌨️ (0:27:27) GovCloud Regions ☁️ Getting Started ⌨️ (0:29:20) Creating an AWS Account ⌨️ (0:32:43) Billing Preferences, Budgets and Alarms ⌨️ (0:40:09) Change IAM Users Sign-in Link ⌨️ (0:41:14) Activate MFA on Root Account ⌨️ (0:43:40) Create individual IAM user ⌨️ (0:48:44) Set a password policy ☁️ Hands On ⌨️ (0:49:50) Intro and Regions ⌨️ (0:51:03) EC2 ⌨️ (0:55:36) Sessions Manager ⌨️ (0:58:36) AMI ⌨️ (1:00:32) Auto Scaling Groups ⌨️ (1:07:31) Elastic Load Balancer ⌨️ (1:12:47) S3 ⌨️ (1:14:29) CloudFront ⌨️ (1:16:52) RDS ⌨️ (1:22:00) Lambda ☁️ EC2 Pricing Models ⌨️ (1:25:28) Introduction ⌨️ (1:25:46) On-Demand ⌨️ (1:26:19) Reserved ⌨️ (1:28:52) Spot ⌨️ (1:30:38) Dedicated ⌨️ (1:32:11) EC2 Pricing CheatSheet ☁️ Billing and Pricing ⌨️ (1:35:04) Free Services ⌨️ (1:36:08) AWS Support Plans ⌨️ (1:40:05) Follow Along - Lets create a support case ⌨️ (1:44:05) AWS Marketplace ⌨️ (1:45:05) Follow Along - Marketplace subscription ⌨️ (1:50:45) AWS Trusted Advisor ⌨️ (1:54:13) Follow Along Trusted Advisor ⌨️ (1:55:43) Consolidated Billing ⌨️ (1:56:54) Consolidated Billing Volume Discounts ⌨️ (1:58:36) AWS Cost Explorer ⌨️ (2:00:16) AWS Cost Explorer Follow Along ⌨️ (2:04:16) AWS Budgets ⌨️ (2:06:31) AWS Budgets Follow Along ⌨️ (2:10:24) TCO Calculator ⌨️ (2:11:20) TCO Calculator Follow ALong ⌨️ (2:14:44) AWS Landing Zone ⌨️ (2:17:28) Resource Groups and Tagging ⌨️ (2:18:37) Resource Groups Follow Along ⌨️ (2:23:40) AWS QuickStart ⌨️ (2:26:48) AWS Cost and Usage Report ⌨️ (2:27:32) Cost and Usage Follow Along ☁️ Technology Overview ⌨️ (2:30:18) AWS Organizations and Accounts ⌨️ (2:31:43) AWS Organizations Follow Along ⌨️ (2:44:13) AWS Networking ⌨️ (2:47:27) Database Services ⌨️ (2:51:31) Provisioning Services ⌨️ (2:56:01) Computing Services ⌨️ (3:00:05) Storage Services ⌨️ (3:03:52) Business Centric Services ⌨️ (3:07:28) Enterprise Integration ⌨️ (3:09:13) Logging Services ⌨️ (3:12:33) Know your Initialisms ☁️ Security ⌨️ (3:13:49) Shared Responsibility Model ⌨️ (3:15:34) AWS Compliance programs ⌨️ (3:17:59) AWS Artifact ⌨️ (3:19:05) AWS Artifact Follow Along ⌨️ (3:21:35) Amazon Inspector ⌨️ (3:23:04) AWS WAF ⌨️ (3:24:17) AWS Shield ⌨️ (3:27:42) Penetration Testing ⌨️ (3:29:29) Guard Duty ⌨️ (3:31:13) Key Management Service ⌨️ (3:32:50) Amazon Macie ⌨️ (3:35:06) Security Groups vs NACLs ⌨️ (3:37:02) AWS VPN ☁️ Variation Study ⌨️ (3:38:10) Cloud* Service ⌨️ (3:40:14) *Connect Service ⌨️ (3:41:28) Elastic Transcoder vs Media Convert ⌨️ (3:42:50) SNS vs SQS ⌨️ (3:45:17) Inspector vs Trusted Advisor ⌨️ (3:46:41) ALB vs NLB vs CLB ⌨️ (3:49:07) SNS vs SES ⌨️ (3:50:58) Artifact vs Inspector ☁️ Summary ⌨️ (3:51:49) Journey's End ⌨️ (3:52:10) Booking Your Exam ⌨️ (3:57:34) Thank You and Good Luck! ⭐️ More AWS Courses ⭐️ 🎥 AWS Certified Developer Associate Training: https://youtu.be/RrKRN9zRBWs 🎥 AWS Certified Solutions Architect Associate Training: https://youtu.be/Ia-UEYYR44s 🎥 AWS for Startups - Deploying with AWS: https://youtu.be/U3VSJhaC4kc -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #AWS Certified Cloud Practitioner #AWS Certified #AWS Certified Cloud #AWS #2019 #Training #Exam #AWS Certified Cloud Practitioner exam #Practitioner #amazon web services #aws cloud #AWS Certifications #EC2 #EBS #EFS #RDS #S3 #AWS CLI #DynamoDB #AWS Serverless #AWS Lambda #CLF-C01 #aws certification training #AWS Cloud Practitioner #AWS Cloud Training #Certified #certification #aws certified solutions architect #how to get aws certified #how to pass #how to #Cloud Computing
2019年10月24日
00:00:00 - 03:58:01
Learn Python - Full Course for Beginners [Tutorial]

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! Click the ⚙️ to change to a dub track in Spanish, Arabic, or Portuguese, or Hindi. (Hindi dubbed via Melt Labs - https://www.withmelt.com/) Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter - https://twitter.com/mike_dane 🔗If you liked this video, Mike accepts donations on his website: https://www.mikedane.com/contribute/ ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: https://youtu.be/KJgsSFOSQv0 💻C++: https://youtu.be/vLnPwxZdW4Y 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c 💻C#: https://youtu.be/GhQdlIFylQ8 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners #python tutorial 2018 #python programming tutorial #python programming language #software development #programming tutorial #freecodecamp
2018年07月12日
00:00:00 - 04:26:52
Understanding AI from Scratch – Neural Networks Course

Understanding AI from Scratch – Neural Networks Course

Understanding AI from Scratch – Neuaral Networks Without Libraries Course Learn the fundamentals of Neural Networks by building one from scratch without libraries. You'll manually tweak network parameters to teach a car how to drive within a specially crafted playground. Dr. Radu teaches computer science at a university in Finland, and has over a decade of experience with machine learning and AI, and he emphasizes the importance of revisiting basics in an era of easy-to-use complex models. You will have homework assignments which you can discuss with Dr. Radu on his Discord: discord.gg/gJFcF5XVn9 ✏️ Course developed by @Radu 🏆 Win prizes by following along: https://youtu.be/EhJ7qD5HwpY 🚗 THE PLAYGROUND: https://radufromfinland.com/projects/aiCarPlayground/?s=default 🚙 HELP COLLECT DATA BY RACING: https://radufromfinland.com/projects/aiRacer ⭐ OTHER LINKS ⭐ Phase 1 – Self-Driving Car with JavaScript: https://youtu.be/Rs_rAxEsAvI Phase 2 – Virtual World Filled with Self-Driving Cars: https://youtu.be/5iHejdqYIa8 Vanilla JavaScript Chart Tutorial: https://youtu.be/n8uCt1TSGKE Machine Learning JavaScript Course: https://youtu.be/vDDjtwQDw2k 3b1b's Neural Network Video: https://youtu.be/aircAruvnKk?si=JB6fvUT3Ko1mkU3x Another Playground: https://playground.tensorflow.org Desmos 3D: https://www.desmos.com/3d Another Playground: https://playground.tensorflow.org Top-view Cars Clip: https://youtu.be/jZrjE_ixu18 💻 CODE 💻 1. Phase 1 https://github.com/gniziemazity/self-driving-car 2. Phase 2 https://github.com/gniziemazity/virtual-world 3. Phase 3 https://github.com/gniziemazity/understanding_ai 💻 Use "11. MiniMap" from Phase 2 at 02:36:49 💻 Use "1. Starting Codebase" from Phase 3 in Lesson 6 (if you didn't code anything yet) ☕ Buy Radu a Coffee: https://www.buymeacoffee.com/radum ⚡️Join Radu's Channel: https://youtube.com/@radu/join ⭐ Contents ⭐ ⌨️ (0:00:00) Introduction ⌨️ (0:07:12) The Playground ⌨️ (0:14:34) One Neuron ⌨️ (0:29:07) Clarrifications ⌨️ (0:31:58) Lesson 2 ⌨️ (0:32:16) Genetic Algorithm ⌨️ (0:43:04) 2 Inputs ⌨️ (1:02:42) Hidden Layers ⌨️ (1:13:03) Misconceptions ⌨️ (1:14:18) Lesson 3 (More Outputs) ⌨️ (1:55:59) Lesson 4 (Traffic Rules) ⌨️ (2:24:10) Lesson 5 (Compass Sensor) ⌨️ (2:35:20) The need for Shortest Path ⌨️ (2:37:10) Updating the Self-driving Car codebase ⌨️ (2:57:39) Lesson 6 (Dijkstra's Algorithm) ⌨️ (3:24:03) Lesson 7 (Dijkstra with AI Agents) ⌨️ (3:43:13) Final Challenge
2024年04月02日
00:00:00 - 03:44:18
Deep Learning Interview Prep Course

Deep Learning Interview Prep Course

Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations. ✏️ Course created by Tatev Karen Aslanyan. ✏️ Expanded course with 100 questions: https://courses.lunartech.ai/courses/deep-learning-interview-preparation-course-100-q-a-s ⭐️ Contents ⭐️ ⌨️ 0:00:00 Introduction ⌨️ 0:08:20 Question 1: What is Deep Learning? ⌨️ 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning? ⌨️ 0:15:25 Question 3: What is a Neural Network? ⌨️ 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning ⌨️ 0:24:35 Question 5: Explain architecture of Neural Networks in simple way ⌨️ 0:31:45 Question 6: What is an activation function in a Neural Network? ⌨️ 0:35:00 Question 7: Name few popular activation functions and describe them ⌨️ 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network? ⌨️ 0:48:20 Question 9: Describe how training of basic Neural Networks works ⌨️ 0:53:45 Question 10: What is Gradient Descent? ⌨️ 1:03:50 Question 11: What is the function of an optimizer in Deep Learning? ⌨️ 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning? ⌨️ 1:17:25 Question 13: How is backpropagation different from gradient descent? ⌨️ 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it’s impact on NN ⌨️ 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it’s impact on NN ⌨️ 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason? ⌨️ 1:37:50 Question 17: What do you understand by a computational graph? ⌨️ 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning? ⌨️ 1:47:15 Question 19: What is Cross Entropy loss function and how is it called in industry? ⌨️ 1:50:18 Question 20: Why is Cross-entropy preferred as the cost function for multi-class classification problems? ⌨️ 1:53:10 Question 21: What is SGD and why it’s used in training Neural Networks? ⌨️ 1:58:24 Question 22: Why does stochastic gradient descent oscillate towards local minima? ⌨️ 2:03:38 Question 23: How is GD different from SGD? ⌨️ 2:08:19 Question 24: How can optimization methods like gradient descent be improved? What is the role of the momentum term? ⌨️ 2:14:22 Question 25: Compare batch gradient descent, minibatch gradient descent, and stochastic gradient descent. ⌨️ 2:19:12 Question 26: How to decide batch size in deep learning (considering both too small and too large sizes)? ⌨️ 2:26:01 Question 27: Batch Size vs Model Performance: How does the batch size impact the performance of a deep learning model? ⌨️ 2:29:33 Question 28: What is Hessian, and how can it be used for faster training? What are its disadvantages? ⌨️ 2:34:12 Question 29: What is RMSProp and how does it work? ⌨️ 2:38:43 Question 30: Discuss the concept of an adaptive learning rate. Describe adaptive learning methods ⌨️ 2:43:34 Question 31: What is Adam and why is it used most of the time in NNs? ⌨️ 2:49:59 Question 32: What is AdamW and why it’s preferred over Adam? ⌨️ 2:54:50 Question 33: What is Batch Normalization and why it’s used in NN? ⌨️ 3:03:19 Question 34: What is Layer Normalization, and why it’s used in NN? ⌨️ 3:06:20 Question 35: What are Residual Connections and their function in NN? ⌨️ 3:15:05 Question 36: What is Gradient clipping and their impact on NN? ⌨️ 3:18:09 Question 37: What is Xavier Initialization and why it’s used in NN? ⌨️ 3:22:13 Question 38: What are different ways to solve Vanishing gradients? ⌨️ 3:25:25 Question 39: What are ways to solve Exploding Gradients? ⌨️ 3:26:42 Question 40: What happens if the Neural Network is suffering from Overfitting relate to large weights? ⌨️ 3:29:18 Question 41: What is Dropout and how does it work? ⌨️ 3:33:59 Question 42: How does Dropout prevent overfitting in NN? ⌨️ 3:35:06 Question 43: Is Dropout like Random Forest? ⌨️ 3:39:21 Question 44: What is the impact of Drop Out on the training vs testing? ⌨️ 3:41:20 Question 45: What are L2/L1 Regularizations and how do they prevent overfitting in NN? ⌨️ 3:44:39 Question 46: What is the difference between L1 and L2 regularisations in NN? ⌨️ 3:48:43 Question 47: How do L1 vs L2 Regularization impact the Weights in a NN? ⌨️ 3:51:56 Question 48: What is the curse of dimensionality in ML or AI? ⌨️ 3:53:04 Question 49: How deep learning models tackle the curse of dimensionality? ⌨️ 3:56:47 Question 50: What are Generative Models, give examples?
2024年01月31日
00:00:00 - 03:59:50
SQL Tutorial - Full Database Course for Beginners

SQL Tutorial - Full Database Course for Beginners

In this course, we'll be looking at database management basics and SQL using the MySQL RDBMS. Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ The course is designed for beginners to SQL and database management systems, and will introduce common database management topics. Throughout the course we'll be looking at various topics including schema design, basic C.R.U.D operations, aggregation, nested queries, joins, keys and much more. You can get PopSQL to follow along here: http://popsql.com/freecodecamp 🔗Company Database Code: https://www.giraffeacademy.com/databases/sql/creating-company-database/ ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (2:36) What is a Database? ⌨️ (23:10) Tables & Keys ⌨️ (43:31) SQL Basics ⌨️ (52:26) MySQL Windows Installation ⌨️ (1:01:59) MySQL Mac Installation ⌨️ (1:15:49) Creating Tables ⌨️ (1:31:05) Inserting Data ⌨️ (1:38:17) Constraints ⌨️ (1:48:11) Update & Delete ⌨️ (1:56:11) Basic Queries ⌨️ (2:08:37) Company Database Intro ⌨️ (2:14:05) Creating Company Database ⌨️ (2:30:27 ) More Basic Queries ⌨️ (2:26:24) Functions ⌨️ (2:45:13) Wildcards ⌨️ (2:53:53) Union ⌨️ (3:01:36) Joins ⌨️ (3:11:49) Nested Queries ⌨️ (3:21:52) On Delete ⌨️ (3:30:05) Triggers ⌨️ (3:42:12) ER Diagrams Intro ⌨️ (3:55:53) Designing an ER Diagram ⌨️ (4:08:34) Converting ER Diagrams to Schemas Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter: http://twitter.com/mike_dane 🔗The Giraffe Academy website: http://www.giraffeacademy.com/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #sql #sql tutorial #sql course #sql for beginners #Structured Query Language #sql course for beginners #learn sql #free sql course #web development #mysql #mysql tutorial #mysql course #rdbms
2018年07月03日
00:00:00 - 04:20:39
C Programming Tutorial for Beginners

C Programming Tutorial for Beginners

This course will give you a full introduction into all of the core concepts in the C programming language. Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:22) Windows Setup ⌨️ (0:05:02) Mac Setup ⌨️ (0:09:04) Hello World ⌨️ (0:12:51) Drawing a Shape ⌨️ (0:20:56) Variables ⌨️ (0:32:25) Data Types ⌨️ (0:38:32) Printf ⌨️ (0:45:22) Working With Numbers ⌨️ (0:52:20) Comments ⌨️ (0:56:00) Constants ⌨️ (1:00:13) Getting User Input ⌨️ (1:12:08) Building a Basic Calculator ⌨️ (1:17:43) Building a Mad Libs Game ⌨️ (1:26:29) Arrays ⌨️ (1:36:44) Functions ⌨️ (1:45:37) Return Statement ⌨️ (1:53:21) If Statements ⌨️ (2:07:11) Building a Better Calculator ⌨️ (2:14:51) Switch Statements ⌨️ (2:21:27) Structs ⌨️ (2:29:43) While Loops ⌨️ (2:37:48) Building a Guessing Game ⌨️ (2:50:11) For Loops ⌨️ (2:59:05) 2D Arrays & Nested Loops ⌨️ (3:09:10) Memory Addresses ⌨️ (3:17:20) Pointers ⌨️ (3:27:41) Dereferencing Pointers ⌨️ (3:32:37) Writing Files ⌨️ (3:41:52) Reading Files Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter: https://twitter.com/GiraffeAcademy 🔗The Giraffe Academy website: http://www.giraffeacademy.com/ ⭐️Other full courses by Giraffe Academy on our channel ⭐️ 💻Python: https://youtu.be/rfscVS0vtbw 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #c tutorial #c course #c programming language #c programming language tutorial #c programming language tutorial for beginners #c programming course #C (Programming Language) #Programming Language (Software Genre) #tutorial #beginners #programming #examples #language basics #literals #data types #functions #loops #arrays #pointers #structures #For Loop #While Loop #Do While Loop #User Input #If #Switch
2018年08月16日
00:00:00 - 03:46:13
Microsoft Excel Tutorial for Beginners - Full Course

Microsoft Excel Tutorial for Beginners - Full Course

Lean how to use Microsoft Excel from the beginning by creating 6 real-world projects. Most of the content applies to Google Sheets as well. You will learn how to - enter data, - navigate through a spreadsheet, - create formulas to solve problems, - create charts and graphs, - understand relative vs absolute references, - import and export data, - implement VLOOKUP, - use pivot tables, - split and concatenate text, - and more. ✏️ Course developed by Shad Sluiter. Check out his YouTube channel: https://www.youtube.com/user/shadsluiter ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:04:14) Payroll ⌨️ (0:39:35) Gradebook ⌨️ (0:57:22) Decision Factors ⌨️ (1:04:40) Sales Database ⌨️ (1:23:13) Car Inventory ⌨️ (1:59:29) Problem Solving Templates ⭐️ Special thanks to our Champion supporters! ⭐️ 🏆 Loc Do 🏆 Joseph C 🏆 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news #google #sheets #excel #excel course #excel tutorial #excel for beginners #exsel
2020年10月28日
00:00:00 - 02:26:10
Learn Python Backend Development by Building 3 Projects [Full Course]

Learn Python Backend Development by Building 3 Projects [Full Course]

This video is a full project-based backend web development course. In this course, you will learn how to build 3 full backend web applications. ✏️ Course developed by Code With Tomi. Check out his channel: https://www.youtube.com/c/CodeWithTomi Backend Mastery Course - https://backendmastery.com/ Projects Built: 1. AI Web App 💻 Github: https://github.com/tomitokko/ai-blog-article-generator 2. Netflix Clone 💻 Github: https://github.com/tomitokko/django-netflix-clone 3. Spotify Clone 💻 Github: https://github.com/tomitokko/spotify-clone 🔗 API Link: https://rapidapi.com/DataFanatic/api/spotify-scraper ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:01:30) AI Web App ⌨️ (3:07:35) Netflix Clone ⌨️ (6:11:33) Spotify Clone - Part 1 ⌨️ (6:33:25) Spotify Clone - Part 2 ⌨️ (6:55:45) Spotify Clone - Part 3 ⌨️ (9:50:21) Spotify Clone - Part 4 ⌨️ (10:07:48) Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年04月10日
00:00:00 - 10:08:02
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live. Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy. For course details, visit: https://ineuron.ai/course/generative-ai-community-edition ⌨️ (00:00:00) DAY 1: Introduction to Generative AI Community Course ⌨️ (01:44:14) DAY 2: Introduction to OpenAI and understanding the OpenAI API ⌨️ (03:37:49) DAY 3: Introduction to LangChain ⌨️ (05:16:48) Day 4: Hugging Face API + Langchain ⌨️ (07:13:08) DAY 5: Memory in Langchain ⌨️ (09:07:53) DAY 6: LLM Generative AI Project using OpenAI & LangChain ⌨️ (11:03:29) DAY 7: LLM Generative AI Project & Deployment ⌨️ (13:09:02) DAY 8: Introduction to Vector Database for AI & LLM ⌨️ (14:52:41) DAY 9: Mastering Vector Databases with Pinecone ⌨️ (17:02:19) DAY 10: Mastering ChromaDB Vector Databases ⌨️ (19:04:25) DAY 11: Introducing Meta Llama 2 ⌨️ (20:54:33) DAY 12: End to End Medical Chatbot Project, Part 1 ⌨️ (22:36:05) DAY 13: End to End Medical Chatbot Project, Part 2 ⌨️ (24:22:10) Generative AI: Everything You need to know about Gemini Pro LLM Models ⌨️ (26:16:33) End to End Gen AI Project using Google Gemini Pro ⌨️ (28:24:14) Webinar - Generative AI Revolution: The Future 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年02月27日
00:00:00 - 30:18:02
Learn JavaScript - Full Course for Beginners

Learn JavaScript - Full Course for Beginners

This complete 134-part JavaScript tutorial for beginners will teach you everything you need to know to get started with the JavaScript programming language. ✏️ Course created by @beau Click the ⚙️ to change to a dub track in Hindi (Dubbed via Melt Labs - https://www.withmelt.com/) ⭐️Curriculum⭐️ This is a stand-alone video but it follows the JavaScript curriculum at freecodecamp.org. Access the curriculum here: 🔗 Basic JavaScript: https://learn.freecodecamp.org/javascript-algorithms-and-data-structures/basic-javascript 🔗 ES6 JavaScript: https://learn.freecodecamp.org/javascript-algorithms-and-data-structures/es6 ⭐️Code⭐️ This course was created using scrimba.com. Access the course there along with the code: 🔗 Basic JavaScript: https://scrimba.com/playlist/pny4ghw 🔗 ES6 JavaScript: https://scrimba.com/playlist/p7v3gCd ⭐️Course Contents⭐️ 0:00:00 Introduction 0:01:24 Running JavaScript 0:04:23 Comment Your Code 0:05:56 Declare Variables 0:06:15 Storing Values with the Assignment Operator 0:11:31 Initializing Variables with the Assignment Operator 0:11:58 Uninitialized Variables 0:12:40 Case Sensitivity in Variables 0:14:05 Basic Math 0:15:30 Increment and Decrement 0:16:22 Decimal Numbers 0:16:48 Multiply Two Decimals 0:17:18 Divide Decimals 0:17:33 Finding a Remainder 0:18:22 Augmented Math Operations 0:21:19 Declare String Variables 0:22:01 Escaping Literal Quotes 0:23:44 Quoting Strings with Single Quotes 0:25:18 Escape Sequences 0:26:46 Plus Operator 0:27:49 Plus Equals Operator 0:29:01 Constructing Strings with Variables 0:30:14 Appending Variables to Strings 0:31:11 Length of a String 0:32:01 Bracket Notation 0:33:27 Understand String Immutability 0:34:23 Find the Nth Character 0:36:28 Word Blanks 0:40:44 Arrays 0:41:43 Nest Arrays 0:42:33 Access Array Data 0:43:34 Modify Array Data 0:44:48 Access Multi-Dimensional Arrays 0:46:30 push() 0:47:29 pop() 0:48:33 shift() 0:49:23 unshift() 0:50:36 Shopping List 0:51:41 Write Reusable with Functions 0:53:41 Arguments 0:55:43 Global Scope 0:59:31 Local Scope 1:00:46 Global vs Local Scope in Functions 1:02:40 Return a Value from a Function 1:03:55 Undefined Value returned 1:04:52 Assignment with a Returned Value 1:05:52 Stand in Line 1:08:41 Boolean Values 1:09:24 If Statements 1:11:51 Equality Operators 1:19:17 And / Or Operators 1:21:37 Else Statements 1:22:27 Else If Statements 1:23:30 Logical Order in If Else Statements 1:24:45 Chaining If Else Statements 1:27:45 Golf Code 1:32:15 Switch Statements 1:41:11 Returning Boolean Values from Functions 1:42:20 Return Early Pattern for Functions 1:43:38 Counting Cards 1:49:11 Build Objects 1:50:46 Dot Notation 1:51:33 Bracket Notation 1:52:47 Variables 1:53:34 Updating Object Properties 1:54:30 Add New Properties to Object 1:55:19 Delete Properties from Object 1:55:54 Objects for Lookups 1:57:43 Testing Objects for Properties 1:59:15 Manipulating Complex Objects 2:01:00 Nested Objects 2:01:53 Nested Arrays 2:03:06 Record Collection 2:10:15 While Loops 2:11:35 For Loops 2:13:56 Odd Numbers With a For Loop 2:15:28 Count Backwards With a For Loop 2:17:08 Iterate Through an Array with a For Loop 2:19:43 Nesting For Loops 2:22:45 Do...While Loops 2:24:12 Profile Lookup 2:28:18 Random Fractions and Whole Numbers 2:31:46 parseInt Function 2:33:29 Ternary Operator 2:34:57 Multiple Ternary Operators 2:36:57 var vs let 2:41:32 const Keyword 2:43:40 Mutate an Array Declared with const 2:44:52 Prevent Object Mutation 2:47:17 Arrow Functions 2:53:04 Default Parameters 2:54:00 Rest Operator 2:55:31 Spread Operator 2:57:18 Destructuring Assignment 3:06:39 Template Literals 3:10:43 Simple Fields 3:12:24 Declarative Functions 3:12:56 class Syntax 3:15:11 getters and setters 3:20:25 import and export 🎥 Want something shorter? Here's a 63-second JavaScript course: https://www.youtube.com/watch?v=OXiyLaNo3NE #javascript tutorial #javascript #javascript tutorial for beginners #programming tutorial #learn javascript for beginners #javascript course #java script tutorial #js tutorial #java scripting tutorial for beginners #javascript tutorials #javascript for beginners #java script #javascript for beginners 2018 #programming tutorial javascript #javascript (programming language) #javascript course for beginners #javascript crash course #learn to code #learn to program #coding tutorial
2018年12月10日
00:00:00 - 03:26:43
Machine Learning & Neural Networks without Libraries – No Black Box Course

Machine Learning & Neural Networks without Libraries – No Black Box Course

Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well. The goal in this course is to build a web app that learns to recognize drawings. This is phase 2, where we increase the accuracy of the method we developed in Phase 1. We do this by implementing more sophisticated features and using other classification methods (like the Neural Network). In Phase 2 we also learn about Data Cleaning, Confusion Matrices, Geometry and the difference between Vector and Raster data (pixels). 🎥 No Black Box Phase 1 Course: https://youtu.be/vDDjtwQDw2k ✏️ Course created by @Radu (PhD in Computer Science) 📁 Data: https://github.com/gniziemazity/drawing-data 💻 Code: https://github.com/gniziemazity/ml-course-phase-2 💻 Ilya's code: https://gist.github.com/id-ilych/8630fb273e5c5a0b64ca1dc080d68b63 💻 Neural Network Code: https://github.com/gniziemazity/neural-network Phase 3 Poll: https://forms.office.com/e/QTMCLLaV24 ⭐️ Other Resources ⭐️ Recognizer we build in this course: https://radufromfinland.com/projects/ml/recognizer Euclidean Distance Video: https://youtu.be/3rPwfmrCwVw Interpolation Video: https://youtu.be/J_puRs40GhM Draw the Portal Game Tutorial (Inspired from Dr. Strange): https://youtu.be/0SxiyLk2IMM Why the Circle has the Largest Area: https://youtu.be/CFBa2ezTQJQ Recognizing drawings via webcam: https://youtu.be/QXB1ytG95gs Self-driving Car Course: https://youtu.be/Rs_rAxEsAvI Discord Server: https://discord.com/invite/gJFcF5XVn9 Scikit-learn documentation: http://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html ⭐️ Contents ⭐️ 0:00:00 Introduction 0:04:07 Phase 1 Code Review 0:23:11 Data Cleaning 0:41:30 Confusion Matrix 1:16:00 Euclidean Distance Marker 1:16:06 Measuring the Elongation 1:39:23 Measuring the Roundness 1:59:20 Vector vs Raster (Pixels) 2:22:40 Neural Networks 3:04:49 Optimizing Neural Networks 3:25:15 Deep Neural Networks 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年08月29日
00:00:00 - 03:37:32
6 Steps to Expertise  in ANYTHING - No Talent Required!

6 Steps to Expertise in ANYTHING - No Talent Required!

Visit https://brilliant.org/PythonProgrammer/ to get started for free and you'll get an extra 20% off too 😃 This is a video about Bloom's Taxonomy. Benjamin Bloom was a researcher. He spent most of his life researching how we learn, how we're taught and how we develop expertise. He concluded that experts are made not born. Join this channel to get access to perks: https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg/join 🍿 WATCH NEXT: Want to Read Faster? Watch this - https://youtu.be/5RfMMBTLDms Become a Super Learner using science - https://youtu.be/TDYa2pPMx0k ⌚️Timestamps: 00:00 Introduction 00:32 6 Steps to Expertise 00:50 Why Bloom's method is useful 01:15 It's called Bloom's Taxonomy 01:36 How to do it 01:53 Step 1 Remember 02:14 Step 2 Understand 02:43 Step 3 Apply 03:10 Lower Order Thinking 03:31 Step 4 Analyze 04:09 Critical Thinking 05:33 Step 5 Evaluate 06:02 Step 6 Create 06:39 Thank you Brilliant Learn Data Science (affiliate link) 🎓 Data Quest - https://bit.ly/3yClqbZ Learn Python with Giles 🎓 Exploratory Data Analysis with Python and Pandas - https://bit.ly/2QXMpxJ 🎓 Complete Python Programmer Bootcamp - http://bit.ly/2OwUA09 📚 My favourite python books for beginners (affiliate links) 📗 Python Crash Course 2nd Edition https://amzn.to/33tATAE 📘 Automate the Boring Stuff with Python https://amzn.to/3qM1DFl 📙 Python Basics - A Practical Introduction to Python 3 https://amzn.to/3fHRMdb 📕 Python Programming An Introduction to Computer Science https://amzn.to/33VeQCr 📗 Invent Your Own Computer Games with Python https://amzn.to/3FM3H4b 🆓 Free Python Resource https://python-programming.quantecon.org/intro.html (This is a great introduction to python) ⚙ My Gear 💡 BenQ Screen Bar Desk Light - https://amzn.to/3tH6ysL 🎧 Sony Noise Cancelling Headphones - https://amzn.to/3tLl82G 📱 Social Media https://www.instagram.com/gilesmcmullen/ https://twitter.com/GilesMcMullen 👌 SUBSCRIBE to ME!👌 https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg?sub_confirmation=1 #Bloom's Taxonomy #how to learn
2024年03月27日
00:00:00 - 00:08:15
Introduction to Programming and Computer Science - Full Course

Introduction to Programming and Computer Science - Full Course

In this course, you will learn basics of computer programming and computer science. The concepts you learn apply to any and all programming languages and will be a good base onto which you can build your skills. This video is meant for those who are interested in computer science and programming but have no idea where to start and have little to no background information on coding. ✏️Course created by Steven and Sean from NullPointer Exception. Check out their channel: https://www.youtube.com/channel/UCmWDlvMYYEbW42B8JyxFBcA ⭐️ Course Contents ⭐️ ⌨️ (00:05) Introduction ⌨️ (01:37) What is Programming? ⌨️ (06:19) How do we write Code? ⌨️ (11:44) How do we get Information from Computers? ⌨️ (14:46) What can Computers Do? ⌨️ (20:43) What are Variables? ⌨️ (25:02) How do we Manipulate Variables? ⌨️ (31:54) What are Conditional Statements? ⌨️ (37:54) What are Array’s? ⌨️ (44:26) What are Loops? ⌨️ (49:37) What are Errors? ⌨️ (55:22) How do we Debug Code? ⌨️ (1:00:25) What are Functions? ⌨️ (1:09:52) How can we Import Functions? ⌨️ (1:13:45) How do we make our own Functions? ⌨️ (1:21:56) What are ArrayLists and Dictionaries? ⌨️ (1:27:38) How can we use Data Structures? ⌨️ (1:36:27) What is Recursion? ⌨️ (1:43:42) What is Pseudocode? ⌨️ (1:50:40) Choosing the Right Language? ⌨️ (1:55:34) Applications of Programming -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2020年04月21日
00:00:00 - 01:59:09
APIs for Beginners 2023 - How to use an API (Full Course / Tutorial)

APIs for Beginners 2023 - How to use an API (Full Course / Tutorial)

What is an API? Learn all about APIs (Application Programming Interfaces) in this full tutorial for beginners. You will learn what APIs do, why APIs exist, and the many benefits of APIs. APIs are used all the time in programming and web development so it is important to understand how to use them. You will also get hands-on experience with a few popular web APIs. As long as you know the absolute basics of coding and the web, you'll have no problem following along. This course has been updated from a previous version. 💻 Teacher’s Notes: https://twil.io/notes-api-course 🎥 Course created by Craig Dennis, Developer Educator at Twilio 🐦 Craig on Twitter: @craigsdennis ⭐️ Contents ⭐️ Unit 1 - What is an API ⌨️ Video 1 - Welcome (0:00:00) ⌨️ Video 2 - Defining Interface (0:04:50) ⌨️ Video 3 - Defining API (0:08:49) ⌨️ Video 4 - Remote APIs (0:13:59) ⌨️ Video 5 - How the web works (0:18:17) ⌨️ Video 6 - RESTful API Constraint Scavenger Hunt (0:23:21) Unit 2 - Exploring APIs ⌨️ Video 1 - Exploring an API online (0:29:06) ⌨️ Video 2 - Using an API from the command line (0:45:01) ⌨️ Video 3 - You go Curl (0:56:20) ⌨️ Video 4 - Using tools to explore APIs (1:14:21) ⌨️ Video 5 - More tools for your API exploring toolbox (1:36:20) ⌨️ Video 6 - Using Helper Libraries (1:48:34) Unit 3 - All Together Now ⌨️ Video 1 - Introducing the Project (2:15:30) ⌨️ Video 2 - Serverless (2:23:30) ⌨️ Video 3 - Writing a Server Side API (2:37:08) ⌨️ Video 4 - Fetching Results on the Client from our Server (2:56:54) ⌨️ Video 5 - Wrap Up (3:05:29) 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年02月07日
00:00:00 - 03:07:07
C++ Programming Course - Beginner to Advanced

C++ Programming Course - Beginner to Advanced

Learn modern C++ 20 programming in this comprehensive course. 💻 Source code: https://github.com/rutura/The-C-20-Masterclass-Source-Code ✏️ Course developed by Daniel Gakwaya. Check out his YouTube channel: https://www.youtube.com/channel/UCUYUFiuJ5XZ3JYtbq5dXRKQ 🐦 Twitter: https://twitter.com/learnqtguide 🔗 Want more from Daniel? https://www.learnqt.guide/udemy-discounted-9/ 🔗 Join Daniel's discord server for support: https://discord.com/invite/PcATcraESW ⭐️ Course Contents ⭐ (0:00:00) Introduction (0:04:32) Chapter 1: Setting up the tools Tools Installing C++ Compilers on Windows Installing VS Code on Windows Configuring Visual Studio Code for C++ on Windows Installing C++ Compilers on Linux Installing Visual Studio Code on Linux Configuring Visual Studio Code for C++ on Linux Installing C++ Compilers on MacOs Installing Visual Studio Code on MacOs Configuring Visual Studio Code for C++ on MacOs Online Compilers (1:43:01) Chapter 2: Diving in Your First C++ Program Comments Errors and Warnings Statements and Functions Data input and output C++ Program Execution Model C++ core language Vs Standard library Vs STL (3:00:47) Chapter 3: Variables and data types Variables and data types Introduction Number Systems Integer types : Decimals and Integers Integer Modifiers Fractional Numbers Booleans Characters And Text Auto Assignments Variables and data types summary (4:46:46) Chapter 4: Operations on Data Introduction on Data operations Basic Operations Precedence and Associativity Prefix/Postfix Increment & Decrement Compound Assignment Operators Relational Operators Logical Operators Output formatting Numeric Limits Math Functions Weird Integral Types Data Operations Summary (7:01:58) Chapter 5: Flow Control Flow Control Introduction If Statements Else If Switch Ternary Operators Flow Control Summary (7:53:49) Chapter 6: Loops Loops Introduction For Loop While Loop Do While Loop (8:47:08) Chapter 7: Arrays Introduction to Arrays Declaring and using arrays Size of an array Arrays of characters Array Bounds (9:53:23) Chapter 8: Pointers Introduction to Pointers Declaring and using pointers Pointer to char Program Memory Map Revisited Dynamic Memory Allocation Dangling Pointers When new Fails Null Pointer Safety Memory Leaks Dynamically allocated arrays (12:11:04) Chapter 9: References Introduction to References Declaring and using references Comparing pointers and references References and const (12:44:29) Chapter 10: Character Manipulation and Strings Introduction to Strings Character Manipulation C-string manipulation C-String concatenation and copy Introducing std::string Declaring and using std::string (14:12:47) Chapter 11: Functions The One Definition Rule First Hand on C++ Functions Function Declaration and Function Definitions Multiple Files - Compilation Model Revisited Pass by value Pass by pointer Pass by reference (16:03:20) Chapter 12: Getting Things out of functions Introduction to getting things out of functions Input and output parameters Returning from functions by value (16:32:35) Chapter 13: Function Overloading Function Overloading Introduction Overloading with different parameters (16:49:00) Chapter 14: Lambda functions Intro to Lambda Functions Declaring and using lambda functions Capture lists Capture all in context Summary (17:40:08) Chapter 15: Function Templates Intro to function templates Trying out function templates Template type deduction and explicit arguments Template parameters by reference Template specialization (19:04:31) Chapter 16: C++20 Concepts Crash course Intro to C++20 Concepts Using C++20 Concepts Building your own C++20 Concepts Zooming in on the requires clause Combining C++20 Concepts C++20 Concepts and auto (20:15:40) Chapter 17: Classes Intro to classes Your First Class C++ Constructors Defaulted constructors Setters and Getters Class Across Multiple Files Arrow pointer call notation Destructors Order of Constructor Destructor Calls The this Pointer struct Size of objects (22:52:43) Chapter 18: Inheritance Introduction to Inheritance First try on Inheritance Protected members Base class access specifiers : Zooming in Closing in on Private Inheritance Resurrecting Members Back in Context Default Constructors with Inheritance Custom Constructors With Inheritance Copy Constructors with Inheritance Inheriting Base Constructors Inheritance and Destructors Reused Symbols in Inheritance (26:21:03) Chapter 19: Polymorphism Introduction to Polymorphism Static Binding with Inheritance Dynamic binding with virtual functions Size of polymorphic objects and slicing Polymorphic objects stored in collections (array) Override Overloading, overriding and function hiding Inheritance and Polymorphism at different levels Inheritance and polymorphism with static members Final Virtual functions with default arguments Virtual Destructors Dynamic casts Polymorphic Functions and Destructors Pure virtual functions and abstract classes Abstract Classes as Interfaces
2022年02月17日
00:00:00 - 31:07:30
Computer & Technology Basics Course for Absolute Beginners

Computer & Technology Basics Course for Absolute Beginners

Learn basic computer and technology skills. This course is for people new to working with computers or people that want to fill in some gaps about their computer knowledge. ✏️ This course was developed by GCF Global. Check out their YouTube channel: https://www.youtube.com/c/GcflearnfreeOrgplus 🔗 GCF Global offers more free learning resources at their website: https://www.GCFLearnFree.org ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Introduction ⌨️ (00:00:55) What Is a Computer? ⌨️ (00:03:37) Buttons and Ports on a Computer ⌨️ (00:06:01) Basic Parts of a Computer ⌨️ (00:08:47) Inside a Computer ⌨️ (00:10:58) Getting to Know Laptop Computers ⌨️ (00:12:55) Understanding Operating Systems ⌨️ (00:14:21) Understanding Applications ⌨️ (00:15:53) Setting Up a Desktop Computer ⌨️ (00:18:47) Connecting to the Internet ⌨️ (00:22:41) What Is the Cloud? ⌨️ (00:25:06) Cleaning Your Computer ⌨️ (00:29:02) Protecting Your Computer ⌨️ (00:32:17) Creating a Safe Workspace ⌨️ (00:36:25) Internet Safety: Your Browser's Security Features ⌨️ (00:38:36) Understanding Spam and Phishing ⌨️ (00:43:27) Understanding Digital Tracking ⌨️ (00:45:39) Windows Basics: Getting Started with the Desktop ⌨️ (00:47:40) Mac OS X Basics: Getting Started with the Desktop ⌨️ (00:52:26) Browser Basics English This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu. Spanish Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración. Portuguese Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações. 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年02月03日
00:00:00 - 00:55:04
9 HOURS of Python Projects - From Beginner to Advanced

9 HOURS of Python Projects - From Beginner to Advanced

This video contains over 9 hours of python project tutorials designed to help you master python and learn through projects! There are over 21 unique python project walkthroughs in this content that range from beginner to advanced. See below for the timestamps for these projects: ➡️ Check out my software development course! https://techwithtim.net/dev 📖 General Resources 📖 Download VSCode: https://code.visualstudio.com/ Fix Pip (Windows): https://www.youtube.com/watch?v=AdUZArA-kZw&t=0s Fix Pip (Mac): https://www.youtube.com/watch?v=E-WhAS6qzsU&t=4s 🕥 Timestamps 🕥 00:00:00 | How To Navigate These Projects --- 00:01:46 | #1 - Quiz Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/quiz_game.py --- 00:22:00 | #2 - Number Guessing Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/number_guesser.py --- 00:39:49 | #3 - Rock, Paper, Scissors (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/rock_paper_scissors.py --- 00:54:40 | #4 - Choose Your Own Adventure Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/choose_your_own_adventure.py --- 01:06:47 | #5 - Password Manager (Medium) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/ Fernet Cryptography Documentation: https://cryptography.io/en/latest/fernet/ --- 01:37:37 | #6 - PIG (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project1.py --- 01:59:07 | #7 - Madlibs Generator (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project2.py --- 02:15:04 | #8 - Timed Math Challenge (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project3.py --- 02:28:02 | #9 - Slot Machine (Medium) Code: https://github.com/techwithtim/Python-Slot-Machine --- 03:20:43 | #10 - Turtle Racing (Medium) Code: https://github.com/techwithtim/Turtle-Racing-V2 Turtle Docs: https://docs.python.org/3/library/turtle.html --- 04:13:09 | #11 - WPM Typing Test (Medium) Code: https://github.com/techwithtim/WPM_Typing_Test Curses Docs: https://docs.python.org/3/howto/curses.html 05:09:43 | #12 - Alarm Clock (Easy) Python Project Idea Blog: https://hackr.io/blog/python-projects Sound Effects: https://www.fesliyanstudios.com/royalty-free-sound-effects-download/alarm-203 --- 05:22:07 | #13 - Password Generator (Easy) Python Project Idea Blog: https://hackr.io/blog/python-projects --- 05:39:16 | #14 - Shortest Path Finder (Advanced) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/path-finder.py --- 06:14:53 | #15 - NBA Stats & Current Scores (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/nba-scores.py --- 06:38:22 | #16 - Currency Converter (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/currency-converter.py API: https://free.currencyconverterapi.com/ --- 06:58:51 | #17 - YouTube Video Downloader (Medium) Code: https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/youtube.py --- 07:09:50 | #18 - Automated File Backup (Medium) Code: https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/backup.py --- 07:21:18 | #19 - Mastermind/4 Color Match (Advanced) --- 07:48:20 | #20 - Aim Trainer (Advanced) Code: https://github.com/techwithtim/Python-Aim-Trainer --- 08:39:20 | #21 - Advanced Python Scripting (Advanced) Code: https://github.com/techwithtim/Python-Scripting-Project #python projects #learn python #python project tutorial #python tutorial #python tech with tim #tech with tim python #python mini projects #projects python #how to learn python #python project based learning #21 python projects #python masterclass #python practice #learning python #how to learn python fast #python tutorials #python coding #python programming #python #software development #coding projects #programming projects
2024年01月23日
00:00:00 - 09:20:00
Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience. ✏️ Bootcamp developed by @AlexTheAnalyst 🔗 Analyst Builder: https://www.analystbuilder.com/ 💻 Access the datasets used here: https://github.com/AlexTheAnalyst ⭐️ Chapters ⭐️ 00:00:00 Introduction 00:01:10 How to Become a Data Analyst in 2023 (Completely FREE!) 00:15:08 SQL Basics Tutorial | Installing SQL Server Management Studio and Create Tables 00:24:44 SQL Basics Tutorial | Select + From Statements 00:30:57 SQL Basics Tutorial | Where Statement 00:38:54 SQL Basics Tutorial | Group By + Order By Statements 00:47:03 Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases 01:02:55 Intermediate SQL Tutorial | Unions | Union Operator 01:08:19 Intermediate SQL Tutorial | Case Statement | Use Cases 01:15:44 Intermediate SQL Tutorial | Having Clause 01:19:15 Intermediate SQL Tutorial | Updating/Deleting Data 01:23:51 Intermediate SQL Tutorial | Aliasing 01:30:02 Intermediate SQL Tutorial | Partition By 01:34:16 Advanced SQL Tutorial | CTE (Common Table Expression) 01:37:59 Advanced SQL Tutorial | Temp Tables 01:48:18 Advanced SQL Tutorial | String Functions + Use Cases 02:02:06 Advanced SQL Tutorial | Stored Procedures + Use Cases 02:08:20 Advanced SQL Tutorial | Subqueries 02:16:57 Data Analyst Portfolio Project | SQL Data Exploration 03:34:01 Data Analyst Portfolio Project | Data Cleaning in SQL 04:28:41 Pivot Tables in Excel | Excel Tutorial 04:46:15 Formulas in Excel | Excel Tutorial 05:20:07 XLOOKUP in Excel | Excel Tutorial 05:38:52 Conditional Formatting in Excel | Excel Tutorial 05:59:49 Charts in Excel | Excel Tutorial 06:14:58 Cleaning Data in Excel | Excel Tutorial 06:36:02 Full Project in Excel | Excel Tutorial 07:16:49 How to Install Tableau and Create First Visualization | Tableau Tutorial 07:33:53 How to use Calculated Fields and Bins in Tableau | Tableau Tutorial 07:40:17 How to Create Visualizations in Tableau | Tableau Tutorial 07:54:20 How to use Joins in Tableau | Tableau Tutorial 08:08:47 Full Beginner Project in Tableau | Tableau Tutorial 08:53:02 How to Install Power BI | Building First Visualization | Microsoft Power BI 09:05:51 How to use Power Query in Power BI | Microsoft Power BI 09:18:57 How to Create and Manage Relationships in Power BI | Microsoft Power BI 09:27:33 How to use DAX in Power BI | Microsoft Power BI 09:43:16 How to use Drill Down in Power BI | Microsoft Power BI 09:49:18 How to use Conditional Formatting in Power BI | Microsoft Power BI 09:59:10 How to use Bins and Lists in Power BI | Microsoft Power BI 10:08:40 Popular Visualizations in Power BI | Microsoft Power BI 10:22:54 Full Power BI Guided Project | Microsoft Power BI 11:05:31 Installing Jupyter Notebooks/Anaconda | Python 11:15:34 Variables in Python | Python 11:28:51 Data Types in Python | Python 11:50:48 Comparison, Logical, and Membership Operators in Python | Python 11:58:03 If Else Statements in Python | Python 12:04:42 For Loops in Python | Python 12:13:59 While Loops in Python | Python 12:19:39 Functions in Python | Python 12:32:22 Converting Data Types in Python | Python 12:38:57 Building a BMI Calculator with Python | Python Project 12:53:19 Building an Automated File Sorter in File Explorer using Python | Python Project 13:10:10 Inspecting Web Pages with HTML | Web Scraping in Python 13:16:03 BeautifulSoup + Requests | Web Scraping in Python 13:23:01 Find and Find_All | Web Scraping in Python 13:35:11 Scraping Data from a Real Website | Web Scraping in Python 14:00:33 Reading in Files in Pandas | Python Pandas Tutorials 14:19:49 Filtering Columns and Rows in Pandas | Python Pandas Tutorials 14:31:37 Indexes in Pandas | Python Pandas Tutorials 14:42:59 Group By and Aggregate Functions in Pandas | Python Pandas Tutorials 14:54:04 Merging DataFrames in Pandas | Python Pandas Tutorials 15:16:13 Creating Visualizations using Pandas Library | Python Pandas Tutorials 15:33:02 Data Cleaning in Pandas | Python Pandas Tutorials 16:11:39 Exploratory Data Analysis in Pandas | Python Pandas Tutorials 16:43:52 Amazon Web Scraping Using Python | Data Analyst Portfolio Project 17:31:03 Automating Crypto Website API Pull Using Python | Data Analyst Project 18:22:13 How to Create a Portfolio Website 18:57:39 Create the Perfect Data Analyst Resume 19:15:16 Top 3 Tips on Using LinkedIn to Land a Job 19:22:05 Get Your Data Analyst Bootcamp Certification
2024年01月09日
00:00:00 - 19:23:46
Calculus 1 - Full College Course

Calculus 1 - Full College Course

Learn Calculus 1 in this full college course. This course was created by Dr. Linda Green, a lecturer at the University of North Carolina at Chapel Hill. Check out her YouTube channel: https://www.youtube.com/channel/UCkyLJh6hQS1TlhUZxOMjTFw This course combines two courses taught by Dr. Green. She teaches both Calculus 1 and a Calculus 1 Corequisite course, designed to be taken at the same time. In this video, the lectures from the Corquisite course, which review important Algebra and Trigonometry concepts, have been interspersed with the Calculus 1 lectures at the places suggested by Dr. Green. ⭐️ Prerequisites ⭐️ 🎥 Algebra: https://www.youtube.com/watch?v=LwCRRUa8yTU 🎥 Precalculus: https://www.youtube.com/watch?v=eI4an8aSsgw ⭐️ Lecture Notes ⭐️ 🔗 Calculus 1 Corequisite Notes: http://lindagreen.web.unc.edu/files/2020/08/courseNotes_math231L_2020Fall.pdf 🔗 Calculus 1 Notes: http://lindagreen.web.unc.edu/files/2019/12/courseNotes_m231_2018_S.pdf 🔗 Viewer created notes (Thanks to Abdelrahman Ramzy): https://drive.google.com/file/d/1Py5hyiOz61i4lh2PEsjvBTH8AEuQzXK_/view?usp=sharing ⭐️ Course Contents ⭐️ (0:00:00) [Corequisite] Rational Expressions (0:09:40) [Corequisite] Difference Quotient (0:18:20) Graphs and Limits (0:25:51) When Limits Fail to Exist (0:31:28) Limit Laws (0:37:07) The Squeeze Theorem (0:42:55) Limits using Algebraic Tricks (0:56:04) When the Limit of the Denominator is 0 (1:08:40) [Corequisite] Lines: Graphs and Equations (1:17:09) [Corequisite] Rational Functions and Graphs (1:30:35) Limits at Infinity and Graphs (1:37:31) Limits at Infinity and Algebraic Tricks (1:45:34) Continuity at a Point (1:53:21) Continuity on Intervals (1:59:43) Intermediate Value Theorem (2:03:37) [Corequisite] Right Angle Trigonometry (2:11:13) [Corequisite] Sine and Cosine of Special Angles (2:19:16) [Corequisite] Unit Circle Definition of Sine and Cosine (2:24:46) [Corequisite] Properties of Trig Functions (2:35:25) [Corequisite] Graphs of Sine and Cosine (2:41:57) [Corequisite] Graphs of Sinusoidal Functions (2:52:10) [Corequisite] Graphs of Tan, Sec, Cot, Csc (3:01:03) [Corequisite] Solving Basic Trig Equations (3:08:14) Derivatives and Tangent Lines (3:22:55) Computing Derivatives from the Definition (3:34:02) Interpreting Derivatives (3:42:33) Derivatives as Functions and Graphs of Derivatives (3:56:25) Proof that Differentiable Functions are Continuous (4:01:09) Power Rule and Other Rules for Derivatives (4:07:42) [Corequisite] Trig Identities (4:15:14) [Corequisite] Pythagorean Identities (4:20:35) [Corequisite] Angle Sum and Difference Formulas (4:28:31) [Corequisite] Double Angle Formulas (4:36:01) Higher Order Derivatives and Notation (4:39:22) Derivative of e^x (4:46:52) Proof of the Power Rule and Other Derivative Rules (4:56:31) Product Rule and Quotient Rule (5:02:09) Proof of Product Rule and Quotient Rule (5:10:40) Special Trigonometric Limits (5:17:31) [Corequisite] Composition of Functions (5:29:54) [Corequisite] Solving Rational Equations (5:40:02) Derivatives of Trig Functions (5:46:23) Proof of Trigonometric Limits and Derivatives (5:54:38) Rectilinear Motion (6:11:41) Marginal Cost (6:16:51) [Corequisite] Logarithms: Introduction (6:25:32) [Corequisite] Log Functions and Their Graphs (6:36:17) [Corequisite] Combining Logs and Exponents (6:40:55) [Corequisite] Log Rules (6:49:27) The Chain Rule (6:58:44) More Chain Rule Examples and Justification (7:07:43) Justification of the Chain Rule (7:10:00) Implicit Differentiation (7:20:28) Derivatives of Exponential Functions (7:25:38) Derivatives of Log Functions (7:29:38) Logarithmic Differentiation (7:37:08) [Corequisite] Inverse Functions (7:51:22) Inverse Trig Functions (8:00:56) Derivatives of Inverse Trigonometric Functions (8:12:11) Related Rates - Distances (8:17:55) Related Rates - Volume and Flow (8:22:21) Related Rates - Angle and Rotation (8:28:20) [Corequisite] Solving Right Triangles (8:34:54) Maximums and Minimums (8:46:18) First Derivative Test and Second Derivative Test (8:51:37) Extreme Value Examples (9:01:33) Mean Value Theorem (9:09:09) Proof of Mean Value Theorem (0:14:59) [Corequisite] Solving Right Triangles (9:25:20) Derivatives and the Shape of the Graph (9:33:31) Linear Approximation (9:48:28) The Differential (9:59:11) L'Hospital's Rule (10:06:27) L'Hospital's Rule on Other Indeterminate Forms (10:16:13) Newtons Method (10:27:45) Antiderivatives (10:33:24) Finding Antiderivatives Using Initial Conditions (10:41:59) Any Two Antiderivatives Differ by a Constant (10:45:19) Summation Notation (10:49:12) Approximating Area (11:04:22) The Fundamental Theorem of Calculus, Part 1 (11:15:02) The Fundamental Theorem of Calculus, Part 2 (11:22:17) Proof of the Fundamental Theorem of Calculus (11:29:18) The Substitution Method (11:38:07) Why U-Substitution Works (11:40:23) Average Value of a Function (11:47:57) Proof of the Mean Value Theorem for Integrals #calculus1 #precalc
2020年08月26日
00:00:00 - 11:53:48
Welcome to Edureka YouTube Channel | One Stop Solution for Learning Trending Technologies #edureka

Welcome to Edureka YouTube Channel | One Stop Solution for Learning Trending Technologies #edureka

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py 📌 Visit our Website: https://www.edureka.co/ and use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎" to get Flat 20% off on our training and certification. 🔥 Edureka salutes your never-give-up spirit and love for learning! Welcome to the 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥, we are your one-stop solution for getting started with trending technologies. Here, you get in-depth tutorials, hands-on demonstrations, interactive live sessions, fun animated videos, and a budding community to learn and grow with trending technologies. 📌Thank you for Subscribing! If you have not, Subscribe now to our channel and click on 🔔 to never miss any updates on trending technology videos we publish: https://bit.ly/3ybeUc1 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐆 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3zKPF1r 📢📢 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 📢📢 🔵 DevOps Online Training: https://bit.ly/3hu6o1J 🌕 AWS Online Training: https://bit.ly/3oqqY4H 🔵 PMP Online Training: https://bit.ly/3ouQZQB 🌕 Python (Data Science) Online Training: https://bit.ly/3uPnHhT 🔵 Selenium Online Training: https://bit.ly/3bpQce3 🌕 Power BI Online Training: https://bit.ly/3uQBcOg 🔵 Tableau Online Training: https://bit.ly/3ogeDQA 🌕 Azure Online Training: https://bit.ly/3bqGFUo 🔵 GCP Online Training: https://bit.ly/2SNebNT 🌕 Salesforce Online Training: https://bit.ly/2RTs50K 🔵 Kubernetes Online Training: https://bit.ly/2STLIGo 🌕 Java Online Training: https://bit.ly/3hAeWEi 🔵 Cyber Security Online Training: https://bit.ly/3hu7muT 🌕 Web Development Online Training: https://bit.ly/2W3o7Vz 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 DevOps Engineer Masters Program: https://bit.ly/30DKNhd 🌕 Cloud Architect Masters Program: https://bit.ly/3DOef2c 🔵 Data Scientist Masters Program: https://bit.ly/3j9LMMA 🌕 Big Data Architect Masters Program: https://bit.ly/3jbZwGD 🔵 Machine Learning Engineer Masters Program: https://bit.ly/3DXgtwt 🌕 Business Intelligence Masters Program: https://bit.ly/3lQzKZY 🔵 Python Developer Masters Program: https://bit.ly/3vmH2Ic 🌕 RPA Developer Masters Program: https://bit.ly/3BNxto5 🔵 Web Development Masters Program: https://bit.ly/3jbUEBf 🌕 Computer Science Bootcamp Program: https://bit.ly/2ZyX06L 🔵 Automation Testing Engineer Masters Program: https://bit.ly/3HWUojE 🌕 Cyber Security Masters Program: https://bit.ly/3raGy66 🔵 Azure Masters Program: https://bit.ly/3fa5LZ5 🌕 Full Stack Developer Masters Program: https://bit.ly/3qdq3Hs 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU 📢📢 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐥𝐚𝐲𝐥𝐢𝐬𝐭𝐬 📢📢 ⏩ Top 10 Trending Technologies: https://bit.ly/3oR1ijH ⏩ DevOps Tutorials: https://bit.ly/2RPWUTT ⏩ AWS Tutorials: https://bit.ly/3bvDLxD ⏩ Python Tutorials: https://bit.ly/3ymbTG7 ⏩ Java Tutorials: https://bit.ly/33IQAjK ⏩ Web Development Tutorials: https://bit.ly/3hpMxRl ⏩ CyberSecurity Tutorials: https://bit.ly/3eP7SlK ⏩ Ethical Hacking Tutorials: https://bit.ly/3brcjkk ⏩ PMP Tutorials: https://bit.ly/3yg2r6K ⏩ Machine Learning Tutorials: https://bit.ly/3uPhYZr ⏩ Data Science Tutorials: https://bit.ly/3hwozE6 ⏩ Big Data Tutorials: https://bit.ly/3uTYy5I ⏩ Power Bi Tutorials: https://bit.ly/3ePiDV3 ⏩ Tableau Tutorials: https://bit.ly/3eMpluP ⏩ Selenium Tutorials: https://bit.ly/3yo4JkC ⏩ IoT Tutorials: https://bit.ly/3eMrYgb ⏩ Blockchain Tutorials: https://bit.ly/3bt7JSF ⏩ Azure Tutorials: https://bit.ly/3ffN1a6 ⏩ GCP Tutorials: https://bit.ly/3uPXOhD ⏩ Salesforce Tutorials: https://bit.ly/3w6OZjV ⏩ UiPath Tutorials: https://bit.ly/2Qn6HR2 ⏩ Automation Anywhere Tutorials: https://bit.ly/33Ockuu ⏩ Linux Tutorials: https://bit.ly/3tOCBUi #edureka #OnlineLearning #elearningYouTubeChannel #YouTube #Trending #EdTech #LifeLongLearning #OnlineTraining #OnlineCertification #OnlineCourse #TrendingTechnologies #RidiculouslyCommited #InstructorLedTraining #LiveTraining 📢📢 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐨𝐜𝐢𝐚𝐥 𝐌𝐞𝐝𝐢𝐚 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬 📢📢 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information. #yt:cc=on #edureka #edureka videos #edureka youtube #edureka youtube channel #edureka youtube java #edureka youtube python #edureka youtube machine learning #edureka devops #edureka data science #edureka web development #edureka cyber security #edureka azure #edureka aws #edureka full courses #edureka playlists #edureka channel #edureka certifications #edureka courses #edureka python #edureka java #python edureka
2021年05月15日
00:00:00 - 00:01:18
Python for Beginners – Full Course [Programming Tutorial]

Python for Beginners – Full Course [Programming Tutorial]

Learn the Python programming language in this full course for beginners! You will learn the fundamentals of Python and code two Python programs line-by-line. No previous programming experience is necessary before watching this course. 🔗 Start using Replit: https://join.replit.com/python-students ✏️ Beau Carnes developed this course. Check out one of his other channels: https://youtube.com/beau 💻 Rock, Paper, Scissors Code: https://replit.com/@BeauCarnes/rps-python 💻 Blackjack Code: https://replit.com/@BeauCarnes/blackjack-python 🏗 Replit provided a grant that made this course possible. 🔗 The Python Handbook by Flavio Copes: https://www.freecodecamp.org/news/the-python-handbook/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction Rock, Paper, Scissors Intro Project ⌨️ (0:03:11) RPS - Variables and Functions ⌨️ (0:09:07) RPS - Calling Functions ⌨️ (0:12:31) RPS - Dictionaries ⌨️ (0:15:28) RPS - User Input ⌨️ (0:16:55) RPS - Libraries, Lists, Methods ⌨️ (0:20:45) RPS - Function Arguments ⌨️ (0:22:33) RPS - If Statements ⌨️ (0:25:40) RPS - Concatenating Strings ⌨️ (0:27:13) RPS - f-strings ⌨️ (0:30:26) RPS - Else and Elif Statements ⌨️ (0:33:37) RPS - Refactoring and Nested If ⌨️ (0:38:37) RPS - Accessing Dictionary Values ⌨️ (0:41:55) RPS - Testing Game Fundamentals of Python ⌨️ (0:43:52) Setup Python Locally ⌨️ (0:47:47) Creating New Repl ⌨️ (0:48:45) Variables ⌨️ (0:51:21) Expressions and Statements ⌨️ (0:52:38) Comments ⌨️ (0:54:23) Data Types ⌨️ (1:00:16) Operators ⌨️ (1:00:44) Arithmetic Operators ⌨️ (1:03:52) Comparison Operators ⌨️ (1:05:13) Boolean Operators ⌨️ (1:07:26) Bitwise Operators ⌨️ (1:07:42) is & in Operators ⌨️ (1:08:21) Ternary Operator ⌨️ (1:09:40) Strings ⌨️ (1:12:36) String Methods ⌨️ (1:16:41) Escaping Characters ⌨️ (1:19:23) String Characters & Slicing ⌨️ (1:21:45) Booleans ⌨️ (1:26:07) Number Data Types ⌨️ (1:28:19) Built-in Functions ⌨️ (1:29:50) Enums ⌨️ (1:32:51) User Input ⌨️ (1:34:39) Control Statements ⌨️ (1:36:48) Lists ⌨️ (1:46:21) Sorting Lists ⌨️ (1:49:57) Tuples ⌨️ (1:53:49) Dictionaries ⌨️ (2:01:45) Sets ⌨️ (2:06:10) Functions ⌨️ (2:16:57) Variable Scope ⌨️ (2:18:35) Nested Functions ⌨️ (2:21:37) Closures ⌨️ (2:22:59) Objects ⌨️ (2:26:27) Loops ⌨️ (2:32:01) Break and Continue ⌨️ (2:33:02) Classes ⌨️ (2:39:12) Modules ⌨️ (2:45:55) Arguments from Command Line ⌨️ (2:52:42) Lambda Functions ⌨️ (2:54:51) Map, Filter, Reduce ⌨️ (3:02:41) Recursion ⌨️ (3:04:42) Decorators ⌨️ (3:06:45) Docstrings ⌨️ (3:09:54) Annotations ⌨️ (3:11:30) Exceptions ⌨️ (3:17:09) With ⌨️ (3:18:26) Installing Packages with pip ⌨️ (3:21:39) List Compression ⌨️ (3:23:09) Polymorphism ⌨️ (3:24:23) Operator Overloading Blackjack Card Game Project ⌨️ (3:26:58) Blackjack - Beginning ⌨️ (3:50:13) Blackjack - Deck Class ⌨️ (3:58:45) Blackjack - Card Class ⌨️ (4:03:25) Blackjack - Hand Class ⌨️ (4:21:13) Blackjack - Game Class ⌨️ (4:37:04) Blackjack - Testing ⌨️ (4:39:36) Conclusion -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年08月09日
00:00:00 - 04:40:00
PLEASE Use These 5 Python Decorators

PLEASE Use These 5 Python Decorators

In this tutorial, I'll be unveiling 5 essential Python decorators that every programmer should have in their toolkit. If you're wondering what decorators are and how they can supercharge your Python code, you're in the right place. Throughout this video, I'll dive deep into the world of decorators, explaining their fundamental principles and showcasing real-world examples of how they can streamline your code and make it more efficient. If you want to land a developer job check out my program with Course Careers: https://techwithtim.net/dev Skool community for free resources: https://www.skool.com/software-developer-academy/about Discord server: https://discord.gg/twt 🎞 Video Resources 🎞 Python Decorators Tutorial: https://www.youtube.com/watch?v=tfCz563ebsU Python Dataclasses Tutorial: https://youtu.be/5mMpM8zK4pY?si=wSuNbR5pzI3nldv9 ⏳ Timestamps ⏳ 00:00 | What Is A Decorator? 05:30 | What You NEED To Know 06:14 | @property 10:34 | @staticmethod 12:10 | @classmethod 13:45 | @functools.cache 17:09 | @dataclass Hashtags #TechWithTim #PythonDecorators #PythonProgramming #CodingTips #tech with tim #Python #decorators #Python programming #coding tips #Tech with Tim #Python tutorial #Python functions #Python decorators tutorial #Python programming guide #coding in Python #software development #Python projects #Python programming tips #Python coding #coding for beginners #Python advanced #Python decorators examples #Python development #Python functions tutorial #artificial intelligence #ai #how to code in python #coding tutorial #programming basics
2024年03月19日
00:00:00 - 00:20:12
Learn HTML – Full Tutorial for Beginners (2022)

Learn HTML – Full Tutorial for Beginners (2022)

Learn HTML in this complete course for beginners. This is an all-in-one beginner tutorial to help you learn web development skills. This course teaches HTML5. ✏️ Dave Gray created this course. Check out his channel: https://www.youtube.com/davegrayteachescode 💻 Code: https://github.com/gitdagray/html_course ⭐️ Course Contents ⭐️ (00:00:00) Intro (00:00:55) Chapter 1 - Getting Started (00:20:13) Chapter 2 - Head Element (00:29:02) Chapter 3 - Text Basics (00:49:45) Chapter 4 - List Types (00:59:55) Chapter 5 - Add Links (01:30:38) Chapter 6 - Add Images (02:00:58) Chapter 7 - Semantic Tags (02:24:53) Chapter 8 - Create Tables (02:40:42) Chapter 9 - Forms & Inputs (03:25:16) Chapter 10 - HTML Project 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年03月09日
00:00:00 - 04:07:30
Introduction to Linux – Full Course for Beginners

Introduction to Linux – Full Course for Beginners

If you're new to Linux, this beginner's course is for you. You'll learn many of the tools used every day by both Linux SysAdmins and the millions of people running Linux distributions like Ubuntu on their PCs. This course will teach you how to navigate Linux's Graphical User Interfaces and powerful command line tool ecosystem. 🔗 Linux Installation guide: https://courses.edx.org/asset-v1:LinuxFoundationX+LFS101x+1T2020+type@asset+block@Preparing_Your_Computer_for_Linux_Training.pdf ✏️ Course taught by @beau 🏗 The Linux Foundation provided a grant to make this course possible. It provides this and other courses at https://training.linuxfoundation.org/training/introduction-to-linux/ ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:38) Chapter 1. Introduction to Linux Families ⌨️ (0:07:39) Chapter 2. Linux Philosophy and Concepts ⌨️ (0:16:37) Chapter 3. Linux Basics and System Startup ⌨️ (1:05:36) Chapter 4. Graphical Interface ⌨️ (1:34:29) Chapter 5. System Configuration from the Graphical Interface ⌨️ (2:04:27) Chapter 6. Common Applications ⌨️ (2:12:57) Chapter 7. Command Line Operations ⌨️ (3:25:50) Chapter 8. Finding Linux Documentation ⌨️ (3:36:53) Chapter 9. Processes ⌨️ (4:07:51) Chapter 10. File Operations ⌨️ (4:31:11) Chapter 11. Text Editors ⌨️ (4:49:25) Chapter 12. User Environment ⌨️ (5:13:32) Chapter 13. Manipulating Text ⌨️ (5:40:04) Chapter 14. Network Operations 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年02月23日
00:00:00 - 06:07:32