- Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Learn how to use Python and machine learning to build a bioinformatics project for drug discovery.

✏️ Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube
channels for more bioinformatics and data science tutorials:
https://www.youtube.com/dataprofessor/ and https:...
Learn how to use Python and machine learning to build a bioinformatics project for drug discovery.

✏️ Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube
channels for more bioinformatics and data science tutorials:
https://www.youtube.com/dataprofessor/ and https://www.youtube.com/codingprofessor/
🔗 And Medium blog posts for more data science tutorials https://data-professor.medium.com/

⭐️ Code ⭐️
💻 Parts 1-5 https://github.com/dataprofessor/bioinformatics_freecodecamp/
💻 Part 6 https://github.com/dataprofessor/bioactivity-prediction-app

⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (4:29) Part 1 - Data collection
⌨️ (26:57) Part 2 - Exploratory data analysis
⌨️ (49:41) Part 3 - Descriptor calculation
⌨️ (1:01:51) Part 4 - Model building
⌨️ (1:10:41) Part 5 - Model comparison
⌨️ (1:18:15) Part 6 - Model deployment

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⌨️ () Introduction - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Introduction

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:00:00 - 00:04:29
][]bartrim = fastq_obj[1][5:] # to trim sequence barcodedata = clinical_data.loc[clinical_data.Barcode==sequence] #Here we loop thru fastq - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

][]bartrim = fastq_obj[1][5:] # to trim sequence barcodedata = clinical_data.loc[clinical_data.Barcode==sequence] #Here we loop thru fastq

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:00:05 - 01:42:54
⌨️ () Part 1 - Data collection - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 1 - Data collection

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:04:29 - 00:26:57
? - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

?

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:09:11 - 01:42:54
its a great video really helpful. at  you are not able to see other types of standard type variable because youve already entered its filter  as ic 50 so it shows only ic50 entries. once you remove filter.standard type[ic50] , youll see array with inhibition, ki, ec 50, kd, activity. - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

its a great video really helpful. at you are not able to see other types of standard type variable because youve already entered its filter as ic 50 so it shows only ic50 entries. once you remove filter.standard type[ic50] , youll see array with inhibition, ki, ec 50, kd, activity.

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:14:09 - 01:42:54
⌨️ () Part 2 - Exploratory data analysis - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 2 - Exploratory data analysis

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:26:57 - 00:49:41
Somehow when I follow along, from  I get "NaN" for items 128-132 in the bioactivity class column instead of "inactive". This throws off my results for the rest of the procedures. Does anyone know how I can fix this? - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Somehow when I follow along, from I get "NaN" for items 128-132 in the bioactivity class column instead of "inactive". This throws off my results for the rest of the procedures. Does anyone know how I can fix this?

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:37:19 - 01:42:54
Hi Master, thank you for this great video!!!!!!!!! in the minute  there is a cut that not allow to understand  the idea - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Hi Master, thank you for this great video!!!!!!!!! in the minute there is a cut that not allow to understand the idea

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:46:59 - 01:42:54
⌨️ () Part 3 - Descriptor calculation - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 3 - Descriptor calculation

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
00:49:41 - 01:01:51
⌨️ () Part 4 - Model building - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 4 - Model building

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
01:01:51 - 01:10:41
⌨️ () Part 5 - Model comparison - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 5 - Model comparison

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
01:10:41 - 01:18:15
⌨️ () Part 6 - Model deployment - Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

⌨️ () Part 6 - Model deployment

Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
2021年06月02日
01:18:15 - 01:42:54

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Timetable

動画タイムテーブル

動画数:54件

⌨ () Intro - Machine Learning for Everybody – Full Course

⌨ () Intro

Machine Learning for Everybody – Full Course
2022年09月27日
00:00:00 - 00:00:58
⌨️ () Intro - Machine Learning for Everybody – Full Course

⌨️ () Intro

Machine Learning for Everybody – Full Course
2022年09月27日
00:00:00 - 00:00:58
⌨ () Data/Colab Intro - Machine Learning for Everybody – Full Course

⌨ () Data/Colab Intro

Machine Learning for Everybody – Full Course
2022年09月27日
00:00:58 - 00:08:45
⌨️ () Data/Colab Intro - Machine Learning for Everybody – Full Course

⌨️ () Data/Colab Intro

Machine Learning for Everybody – Full Course
2022年09月27日
00:00:58 - 00:08:45
Timothy - Machine Learning for Everybody – Full Course

Timothy

Machine Learning for Everybody – Full Course
2022年09月27日
00:01:09 - 00:19:10
- Mark  KJVHe that believeth on the Son hath everlasting life: and he that believeth not the Son shall not see life; but the wrath of God abideth on him. - Machine Learning for Everybody – Full Course

- Mark KJVHe that believeth on the Son hath everlasting life: and he that believeth not the Son shall not see life; but the wrath of God abideth on him.

Machine Learning for Everybody – Full Course
2022年09月27日
00:01:15 - 00:03:36
For I am not ashamed of the gospel of Christ: for it is the power of God unto salvation to every one that believeth; to the Jew first, and also to the Greek. Romans - Machine Learning for Everybody – Full Course

For I am not ashamed of the gospel of Christ: for it is the power of God unto salvation to every one that believeth; to the Jew first, and also to the Greek. Romans

Machine Learning for Everybody – Full Course
2022年09月27日
00:01:16 - 03:53:53
,  (5) - Machine Learning for Everybody – Full Course

, (5)

Machine Learning for Everybody – Full Course
2022年09月27日
00:01:55 - 03:53:53
For by grace are ye saved through faith; and that not of yourselves: it is the gift of God: Not of works, lest any man should boast. Ephesians -9And saying, The time is fulfilled, and the kingdom of God is at hand: repent ye, and believe the gospel. - Machine Learning for Everybody – Full Course

For by grace are ye saved through faith; and that not of yourselves: it is the gift of God: Not of works, lest any man should boast. Ephesians -9And saying, The time is fulfilled, and the kingdom of God is at hand: repent ye, and believe the gospel.

Machine Learning for Everybody – Full Course
2022年09月27日
00:02:08 - 00:01:15
Peter - Machine Learning for Everybody – Full Course

Peter

Machine Learning for Everybody – Full Course
2022年09月27日
00:03:09 - 00:16:16
For God sent not his Son into the world to condemn the world; but that the world through him might be saved. JohnJesus saith unto him, I am the way, the truth, and the life: no man cometh unto the Father, but by me. - Machine Learning for Everybody – Full Course

For God sent not his Son into the world to condemn the world; but that the world through him might be saved. JohnJesus saith unto him, I am the way, the truth, and the life: no man cometh unto the Father, but by me.

Machine Learning for Everybody – Full Course
2022年09月27日
00:03:17 - 00:14:06
Hes literally the god we dont deserve on this earth. - Machine Learning for Everybody – Full Course

Hes literally the god we dont deserve on this earth.

Machine Learning for Everybody – Full Course
2022年09月27日
00:03:17 - 03:53:53
- John  KJV - Machine Learning for Everybody – Full Course

- John KJV

Machine Learning for Everybody – Full Course
2022年09月27日
00:03:36 - 00:01:09
Neither is there salvation in any other: for there is none other name under heaven given among men, whereby we must be saved. Acts - Machine Learning for Everybody – Full Course

Neither is there salvation in any other: for there is none other name under heaven given among men, whereby we must be saved. Acts

Machine Learning for Everybody – Full Course
2022年09月27日
00:04:12 - 00:05:10
For scarcely for a righteous man will one die: yet peradventure for a good man some would even dare to die. But God commendeth his love toward us, in that, while we were yet sinners, Christ died for us. Romans -8 - Machine Learning for Everybody – Full Course

For scarcely for a righteous man will one die: yet peradventure for a good man some would even dare to die. But God commendeth his love toward us, in that, while we were yet sinners, Christ died for us. Romans -8

Machine Learning for Everybody – Full Course
2022年09月27日
00:05:07 - 00:10:09
For if, when we were enemies, we were reconciled to God by the death of his Son, much more, being reconciled, we shall be saved by his life. Romans - Machine Learning for Everybody – Full Course

For if, when we were enemies, we were reconciled to God by the death of his Son, much more, being reconciled, we shall be saved by his life. Romans

Machine Learning for Everybody – Full Course
2022年09月27日
00:05:10 - 00:53:05
⌨ () Intro to Machine Learning - Machine Learning for Everybody – Full Course

⌨ () Intro to Machine Learning

Machine Learning for Everybody – Full Course
2022年09月27日
00:08:45 - 00:12:26
⌨️ () Intro to Machine Learning - Machine Learning for Everybody – Full Course

⌨️ () Intro to Machine Learning

Machine Learning for Everybody – Full Course
2022年09月27日
00:08:45 - 00:12:26
- Romans -11 KJVFor whosoever shall call upon the name of the Lord shall be saved. - Machine Learning for Everybody – Full Course

- Romans -11 KJVFor whosoever shall call upon the name of the Lord shall be saved.

Machine Learning for Everybody – Full Course
2022年09月27日
00:10:09 - 00:10:13
I am the door: by me if any man enter in, he shall be saved, and shall go in and out, and find pasture. JohnThat if thou shalt confess with thy mouth the Lord Jesus, and shalt believe in thine heart that God hath raised him from the dead, thou shalt be saved. 10 For with the heart man believeth unto righteousness; and with the mouth confession is made unto salvation. 11 For the scripture saith, Whosoever believeth on him shall not be ashamed. - Machine Learning for Everybody – Full Course

I am the door: by me if any man enter in, he shall be saved, and shall go in and out, and find pasture. JohnThat if thou shalt confess with thy mouth the Lord Jesus, and shalt believe in thine heart that God hath raised him from the dead, thou shalt be saved. 10 For with the heart man believeth unto righteousness; and with the mouth confession is made unto salvation. 11 For the scripture saith, Whosoever believeth on him shall not be ashamed.

Machine Learning for Everybody – Full Course
2022年09月27日
00:10:09 - 00:10:09
- Romans  KJV - Machine Learning for Everybody – Full Course

- Romans KJV

Machine Learning for Everybody – Full Course
2022年09月27日
00:10:13 - 00:01:16
⌨ () Features - Machine Learning for Everybody – Full Course

⌨ () Features

Machine Learning for Everybody – Full Course
2022年09月27日
00:12:26 - 00:17:23
⌨️ () Features - Machine Learning for Everybody – Full Course

⌨️ () Features

Machine Learning for Everybody – Full Course
2022年09月27日
00:12:26 - 00:17:23
you are walking on thin ice - Machine Learning for Everybody – Full Course

you are walking on thin ice

Machine Learning for Everybody – Full Course
2022年09月27日
00:13:10 - 03:53:53
Greater love hath no man than this, that a man lay down his life for his friends. - John  KJVSAVALATIONFor God so loved the world, that he gave his only begotten Son, that whosoever believeth in him should not perish, but have everlasting life. - Machine Learning for Everybody – Full Course

Greater love hath no man than this, that a man lay down his life for his friends. - John KJVSAVALATIONFor God so loved the world, that he gave his only begotten Son, that whosoever believeth in him should not perish, but have everlasting life.

Machine Learning for Everybody – Full Course
2022年09月27日
00:15:13 - 00:03:16
Corinthians - Machine Learning for Everybody – Full Course

Corinthians

Machine Learning for Everybody – Full Course
2022年09月27日
00:15:22 - 00:05:07
He that believeth and is baptized shall be saved; but he that believeth not shall be damned. Mark - Machine Learning for Everybody – Full Course

He that believeth and is baptized shall be saved; but he that believeth not shall be damned. Mark

Machine Learning for Everybody – Full Course
2022年09月27日
00:16:16 - 00:15:22
⌨ () Classification/Regression - Machine Learning for Everybody – Full Course

⌨ () Classification/Regression

Machine Learning for Everybody – Full Course
2022年09月27日
00:17:23 - 00:19:57
⌨️ () Classification/Regression - Machine Learning for Everybody – Full Course

⌨️ () Classification/Regression

Machine Learning for Everybody – Full Course
2022年09月27日
00:17:23 - 00:19:57
As soon as you mentioned "Hot Dog or Not Hot Dog", it instantly reminded me of Jian Yang's classification model from the HBO comedy series Silicon Valley. 😂But this course is very useful and easy to grasp for beginners like us. 👍👍 - Machine Learning for Everybody – Full Course

As soon as you mentioned "Hot Dog or Not Hot Dog", it instantly reminded me of Jian Yang's classification model from the HBO comedy series Silicon Valley. 😂But this course is very useful and easy to grasp for beginners like us. 👍👍

Machine Learning for Everybody – Full Course
2022年09月27日
00:18:10 - 03:53:53
For the Son of man is come to seek and to save that which was lost. Luke - Machine Learning for Everybody – Full Course

For the Son of man is come to seek and to save that which was lost. Luke

Machine Learning for Everybody – Full Course
2022年09月27日
00:19:10 - 00:03:09
⌨ () Training Model - Machine Learning for Everybody – Full Course

⌨ () Training Model

Machine Learning for Everybody – Full Course
2022年09月27日
00:19:57 - 00:30:57
⌨️ () Training Model - Machine Learning for Everybody – Full Course

⌨️ () Training Model

Machine Learning for Everybody – Full Course
2022年09月27日
00:19:57 - 00:30:57
blood pressure: 0 - Machine Learning for Everybody – Full Course

blood pressure: 0

Machine Learning for Everybody – Full Course
2022年09月27日
00:21:19 - 03:53:53
⌨ () Preparing Data - Machine Learning for Everybody – Full Course

⌨ () Preparing Data

Machine Learning for Everybody – Full Course
2022年09月27日
00:30:57 - 00:44:43
⌨️ () Preparing Data - Machine Learning for Everybody – Full Course

⌨️ () Preparing Data

Machine Learning for Everybody – Full Course
2022年09月27日
00:30:57 - 00:44:43
at  the for each loop variable name should be feature right? - Machine Learning for Everybody – Full Course

at the for each loop variable name should be feature right?

Machine Learning for Everybody – Full Course
2022年09月27日
00:33:57 - 03:53:53
, (1) - Machine Learning for Everybody – Full Course

, (1)

Machine Learning for Everybody – Full Course
2022年09月27日
00:36:55 - 00:44:47
At  she edited multiple lines at once?! how did she do that? :D - Machine Learning for Everybody – Full Course

At she edited multiple lines at once?! how did she do that? :D

Machine Learning for Everybody – Full Course
2022年09月27日
00:43:40 - 03:53:53
⌨ () K-Nearest Neighbors - Machine Learning for Everybody – Full Course

⌨ () K-Nearest Neighbors

Machine Learning for Everybody – Full Course
2022年09月27日
00:44:43 - 00:52:42
⌨️ () K-Nearest Neighbors - Machine Learning for Everybody – Full Course

⌨️ () K-Nearest Neighbors

Machine Learning for Everybody – Full Course
2022年09月27日
00:44:43 - 00:52:42
For the KNN classifier when finding distances, the axes should reflect the scaled values rather than absolute distances right? I guess the numbers provided were simplified for illustrative purposes. @ - Machine Learning for Everybody – Full Course

For the KNN classifier when finding distances, the axes should reflect the scaled values rather than absolute distances right? I guess the numbers provided were simplified for illustrative purposes. @

Machine Learning for Everybody – Full Course
2022年09月27日
00:52:10 - 03:53:53
⌨ () KNN Implementation - Machine Learning for Everybody – Full Course

⌨ () KNN Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
00:52:42 - 01:08:43
⌨️ () KNN Implementation - Machine Learning for Everybody – Full Course

⌨️ () KNN Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
00:52:42 - 01:08:43
But he was wounded for our transgressions, he was bruised for our iniquities: the chastisement of our peace was upon him; and with his stripes we are healed. - Isaiah - Machine Learning for Everybody – Full Course

But he was wounded for our transgressions, he was bruised for our iniquities: the chastisement of our peace was upon him; and with his stripes we are healed. - Isaiah

Machine Learning for Everybody – Full Course
2022年09月27日
00:53:05 - 00:02:08
⌨ () Naive Bayes - Machine Learning for Everybody – Full Course

⌨ () Naive Bayes

Machine Learning for Everybody – Full Course
2022年09月27日
01:08:43 - 01:17:30
⌨️ () Naive Bayes - Machine Learning for Everybody – Full Course

⌨️ () Naive Bayes

Machine Learning for Everybody – Full Course
2022年09月27日
01:08:43 - 01:17:30
⌨ () Naive Bayes Implementation - Machine Learning for Everybody – Full Course

⌨ () Naive Bayes Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:17:30 - 01:19:22
⌨️ () Naive Bayes Implementation - Machine Learning for Everybody – Full Course

⌨️ () Naive Bayes Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:17:30 - 01:19:22
, - Machine Learning for Everybody – Full Course

,

Machine Learning for Everybody – Full Course
2022年09月27日
01:19:21 - 00:01:55
⌨ () Logistic Regression - Machine Learning for Everybody – Full Course

⌨ () Logistic Regression

Machine Learning for Everybody – Full Course
2022年09月27日
01:19:22 - 01:27:56
⌨️ () Logistic Regression - Machine Learning for Everybody – Full Course

⌨️ () Logistic Regression

Machine Learning for Everybody – Full Course
2022年09月27日
01:19:22 - 01:27:56
⌨ () Log Regression Implementation - Machine Learning for Everybody – Full Course

⌨ () Log Regression Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:27:56 - 01:29:13
⌨️ () Log Regression Implementation - Machine Learning for Everybody – Full Course

⌨️ () Log Regression Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:27:56 - 01:29:13
⌨ () Support Vector Machine - Machine Learning for Everybody – Full Course

⌨ () Support Vector Machine

Machine Learning for Everybody – Full Course
2022年09月27日
01:29:13 - 01:37:54
⌨️ () Support Vector Machine - Machine Learning for Everybody – Full Course

⌨️ () Support Vector Machine

Machine Learning for Everybody – Full Course
2022年09月27日
01:29:13 - 01:37:54
⌨ () SVM Implementation - Machine Learning for Everybody – Full Course

⌨ () SVM Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:37:54 - 01:39:44
⌨️ () SVM Implementation - Machine Learning for Everybody – Full Course

⌨️ () SVM Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
01:37:54 - 01:39:44
⌨ () Neural Networks - Machine Learning for Everybody – Full Course

⌨ () Neural Networks

Machine Learning for Everybody – Full Course
2022年09月27日
01:39:44 - 01:47:57
⌨️ () Neural Networks - Machine Learning for Everybody – Full Course

⌨️ () Neural Networks

Machine Learning for Everybody – Full Course
2022年09月27日
01:39:44 - 01:47:57
⌨ () Tensorflow - Machine Learning for Everybody – Full Course

⌨ () Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
01:47:57 - 01:49:50
⌨️ () Tensorflow - Machine Learning for Everybody – Full Course

⌨️ () Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
01:47:57 - 01:49:50
⌨ () Classification NN using Tensorflow - Machine Learning for Everybody – Full Course

⌨ () Classification NN using Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
01:49:50 - 02:10:12
⌨️ () Classification NN using Tensorflow - Machine Learning for Everybody – Full Course

⌨️ () Classification NN using Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
01:49:50 - 02:10:12
⌨ () Linear Regression - Machine Learning for Everybody – Full Course

⌨ () Linear Regression

Machine Learning for Everybody – Full Course
2022年09月27日
02:10:12 - 02:34:54
⌨️ () Linear Regression - Machine Learning for Everybody – Full Course

⌨️ () Linear Regression

Machine Learning for Everybody – Full Course
2022年09月27日
02:10:12 - 02:34:54
⌨ () Lin Regression Implementation - Machine Learning for Everybody – Full Course

⌨ () Lin Regression Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
02:34:54 - 02:57:44
⌨️ () Lin Regression Implementation - Machine Learning for Everybody – Full Course

⌨️ () Lin Regression Implementation

Machine Learning for Everybody – Full Course
2022年09月27日
02:34:54 - 02:57:44
⌨ () Lin Regression using a Neuron - Machine Learning for Everybody – Full Course

⌨ () Lin Regression using a Neuron

Machine Learning for Everybody – Full Course
2022年09月27日
02:57:44 - 03:00:15
⌨️ () Lin Regression using a Neuron - Machine Learning for Everybody – Full Course

⌨️ () Lin Regression using a Neuron

Machine Learning for Everybody – Full Course
2022年09月27日
02:57:44 - 03:00:15
⌨ () Regression NN using Tensorflow - Machine Learning for Everybody – Full Course

⌨ () Regression NN using Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
03:00:15 - 03:13:13
⌨️ () Regression NN using Tensorflow - Machine Learning for Everybody – Full Course

⌨️ () Regression NN using Tensorflow

Machine Learning for Everybody – Full Course
2022年09月27日
03:00:15 - 03:13:13
⌨ () K-Means Clustering - Machine Learning for Everybody – Full Course

⌨ () K-Means Clustering

Machine Learning for Everybody – Full Course
2022年09月27日
03:13:13 - 03:23:46
⌨️ () K-Means Clustering - Machine Learning for Everybody – Full Course

⌨️ () K-Means Clustering

Machine Learning for Everybody – Full Course
2022年09月27日
03:13:13 - 03:23:46
⌨ () Principal Component Analysis - Machine Learning for Everybody – Full Course

⌨ () Principal Component Analysis

Machine Learning for Everybody – Full Course
2022年09月27日
03:23:46 - 03:33:54
⌨️ () Principal Component Analysis - Machine Learning for Everybody – Full Course

⌨️ () Principal Component Analysis

Machine Learning for Everybody – Full Course
2022年09月27日
03:23:46 - 03:33:54
⌨ () K-Means and PCA Implementations - Machine Learning for Everybody – Full Course

⌨ () K-Means and PCA Implementations

Machine Learning for Everybody – Full Course
2022年09月27日
03:33:54 - 03:53:53
⌨️ () K-Means and PCA Implementations - Machine Learning for Everybody – Full Course

⌨️ () K-Means and PCA Implementations

Machine Learning for Everybody – Full Course
2022年09月27日
03:33:54 - 03:53:53
⌨ () Introduction - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Introduction

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:00:00 - 00:00:34
⌨️ () Introduction - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Introduction

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:00:00 - 00:00:34
I think you could have used an « else » here :)Great video ! - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

I think you could have used an « else » here :)Great video !

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:00:05 - 01:54:11
⌨ () Colab intro (importing wine dataset) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Colab intro (importing wine dataset)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:00:34 - 00:07:48
⌨️ () Colab intro (importing wine dataset) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Colab intro (importing wine dataset)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:00:34 - 00:07:48
X = df[df.columns[]].valuesy = df[df.columns[-1]].values - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

X = df[df.columns[]].valuesy = df[df.columns[-1]].values

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:03:04 - 01:54:11
[] Just to be clear, `NaN` is not a "none-type value" indicating that "no value [was] recorded [there]" —that'd be `undefined`. It stands for "not a number" and is the result returned from trying to do an operation that can only be done on an Int/Float (or something that will be coerced into an Int/Float) on a value that isn't an Int/Float; e.g., `4 * "dog"` in JS will return `NaN`. It means you tried to do something with a number that's irrational to do with an number. Another JS example: zero divided by zero. - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

[] Just to be clear, `NaN` is not a "none-type value" indicating that "no value [was] recorded [there]" —that'd be `undefined`. It stands for "not a number" and is the result returned from trying to do an operation that can only be done on an Int/Float (or something that will be coerced into an Int/Float) on a value that isn't an Int/Float; e.g., `4 * "dog"` in JS will return `NaN`. It means you tried to do something with a number that's irrational to do with an number. Another JS example: zero divided by zero.

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:04:39 - 01:54:11
⌨ () What is machine learning? - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () What is machine learning?

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:07:48 - 00:14:00
⌨️ () What is machine learning? - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () What is machine learning?

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:07:48 - 00:14:00
⌨ () Features (inputs) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Features (inputs)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:14:00 - 00:20:22
⌨️ () Features (inputs) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Features (inputs)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:14:00 - 00:20:22
🥺💬 That is almost  Thailand I will continue to watch this VDO but I fill feed all cats and the velocity time. - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

🥺💬 That is almost Thailand I will continue to watch this VDO but I fill feed all cats and the velocity time.

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:18:00 - 01:54:11
Oh man, was fasting today and the example at around  with the hot dog, pizza, and ice cream had me dying😅 - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Oh man, was fasting today and the example at around with the hot dog, pizza, and ice cream had me dying😅

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:20:00 - 01:54:11
⌨ () Outputs (predictions) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Outputs (predictions)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:20:22 - 00:25:05
⌨️ () Outputs (predictions) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Outputs (predictions)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:20:22 - 00:25:05
@ when kylie was explaining multiclass and binary classification with the example of hotdog, I first remembered Jian yang's app from Silicon Valley. I really liked that you put in a small clip of it. - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

@ when kylie was explaining multiclass and binary classification with the example of hotdog, I first remembered Jian yang's app from Silicon Valley. I really liked that you put in a small clip of it.

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:21:04 - 01:54:11
Most funny moment 😂 - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Most funny moment 😂

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:21:33 - 01:54:11
⌨ () Anatomy of a dataset - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Anatomy of a dataset

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:25:05 - 00:30:22
⌨️ () Anatomy of a dataset - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Anatomy of a dataset

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:25:05 - 00:30:22
⌨ () Assessing performance - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Assessing performance

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:30:22 - 00:35:01
⌨️ () Assessing performance - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Assessing performance

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:30:22 - 00:35:01
⌨ () Neural nets - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Neural nets

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:35:01 - 00:48:50
⌨️ () Neural nets - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Neural nets

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:35:01 - 00:48:50
⌨ () Tensorflow - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Tensorflow

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:48:50 - 00:50:45
⌨️ () Tensorflow - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Tensorflow

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:48:50 - 00:50:45
⌨ () Colab (feedforward network using diabetes dataset) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Colab (feedforward network using diabetes dataset)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:50:45 - 01:21:15
⌨️ () Colab (feedforward network using diabetes dataset) - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Colab (feedforward network using diabetes dataset)

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
00:50:45 - 01:21:15
⌨ () Recurrent neural networks - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Recurrent neural networks

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
01:21:15 - 01:26:20
⌨️ () Recurrent neural networks - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Recurrent neural networks

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
01:21:15 - 01:26:20
⌨ () Colab (text classification networks using wine dataset - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨ () Colab (text classification networks using wine dataset

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
01:26:20 - 01:54:11
⌨️ () Colab (text classification networks using wine dataset)-- - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

⌨️ () Colab (text classification networks using wine dataset)--

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
01:26:20 - 01:54:11
Is it wise to set trainable=True in the embedding layer imported from the hub? Isn't the whole point that it is pre-trained? - Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Is it wise to set trainable=True in the embedding layer imported from the hub? Isn't the whole point that it is pre-trained?

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
2022年06月15日
01:36:40 - 01:54:11