- Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks ...
This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks (CNNs), implement fine-tuning and transfer learning, and more!

⭐️🦎 COURSE CONTENTS 🦎⭐️
⌨️ (00:00:00) Welcome to this course
⌨️ (00:00:16) Keras Course Introduction
⌨️ (00:00:50) Course Prerequisites
⌨️ (00:01:33) DEEPLIZARD Deep Learning Path
⌨️ (00:01:45) Course Resources
⌨️ (00:02:30) About Keras
⌨️ (00:06:41) Keras with TensorFlow - Data Processing for Neural Network Training
⌨️ (00:18:39) Create an Artificial Neural Network with TensorFlow's Keras API
⌨️ (00:24:36) Train an Artificial Neural Network with TensorFlow's Keras API
⌨️ (00:30:07) Build a Validation Set With TensorFlow's Keras API
⌨️ (00:39:28) Neural Network Predictions with TensorFlow's Keras API
⌨️ (00:47:48) Create a Confusion Matrix for Neural Network Predictions
⌨️ (00:52:29) Save and Load a Model with TensorFlow's Keras API
⌨️ (01:01:25) Image Preparation for CNNs with TensorFlow's Keras API
⌨️ (01:19:22) Build and Train a CNN with TensorFlow's Keras API
⌨️ (01:28:42) CNN Predictions with TensorFlow's Keras API
⌨️ (01:37:05) Build a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:48:19) Train a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:52:39) Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:57:50) MobileNet Image Classification with TensorFlow's Keras API
⌨️ (02:11:18) Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API
⌨️ (02:24:24) Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
⌨️ (02:38:59) Data Augmentation with TensorFlow' Keras API
⌨️ (02:47:24) Collective Intelligence and the DEEPLIZARD HIVEMIND

⭐️🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎⭐️

👉 Check out the blog post and other resources for this course:
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👋 Hey, we're Chris and Mandy, the creators of deeplizard!
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#karas #tensorflow #deep learning #machine learning
⌨️ () Welcome to this course - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Welcome to this course

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:00:00 - 00:00:16
⌨️ () Keras Course Introduction - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Keras Course Introduction

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:00:16 - 00:00:50
⌨️ () Course Prerequisites - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Course Prerequisites

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:00:50 - 00:01:33
at  when did we associate Labels with Image? we only created the images' batch but when did we associate with its labels? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

at when did we associate Labels with Image? we only created the images' batch but when did we associate with its labels?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:01:15 - 02:47:55
I am sure I missed something, Still.... Where does that labels come from? ? How did it distinguish cats and dogs? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I am sure I missed something, Still.... Where does that labels come from? ? How did it distinguish cats and dogs?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:01:16 - 02:47:55
⌨️ () DEEPLIZARD Deep Learning Path - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () DEEPLIZARD Deep Learning Path

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:01:33 - 00:01:45
⌨️ () Course Resources - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Course Resources

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:01:45 - 00:02:30
I finished off at - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I finished off at

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:02:07 - 02:47:55
At , I think the model did a deep learning to see the espresso layer under the cappuccino top. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

At , I think the model did a deep learning to see the espresso layer under the cappuccino top.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:02:09 - 02:47:55
⌨️ () About Keras - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () About Keras

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:02:30 - 00:06:41
⌨️ () Keras with TensorFlow - Data Processing for Neural Network Training - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Keras with TensorFlow - Data Processing for Neural Network Training

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:06:41 - 00:18:39
at  as trial has 2100 participants, shouldn't the sample size be for i in range(50) and the other for i in range(2050) ? Also when running the 'model.fit', I am not getting the 2100/2100 as shown in 28:35. Instead getting 378/378. Hopefully somebody can help me see clearer. Thank you - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

at as trial has 2100 participants, shouldn't the sample size be for i in range(50) and the other for i in range(2050) ? Also when running the 'model.fit', I am not getting the 2100/2100 as shown in 28:35. Instead getting 378/378. Hopefully somebody can help me see clearer. Thank you

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:12:10 - 02:47:55
the for loops are not clear to me.   The for loops have been divided (1-50) and (1-1000). 5% of 2100 = 105, and 95% of 2100 = 1995. What is the logic behind dividing the for loops in such a manner? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

the for loops are not clear to me. The for loops have been divided (1-50) and (1-1000). 5% of 2100 = 105, and 95% of 2100 = 1995. What is the logic behind dividing the for loops in such a manner?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:12:48 - 02:47:55
it should be "for i in range(950)" NOT "for i in range(1000)"Reason: if 5% = 50 person, then 1% = 5 person. So, 95% = 950 person. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

it should be "for i in range(950)" NOT "for i in range(1000)"Reason: if 5% = 50 person, then 1% = 5 person. So, 95% = 950 person.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:13:57 - 02:47:55
why were the ranges in the first and second for loop different ? First was 50, second was 1000. Why ? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

why were the ranges in the first and second for loop different ? First was 50, second was 1000. Why ?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:14:27 - 02:47:55
Hi, why to rescale the numpy array, I didnt understood well? () - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Hi, why to rescale the numpy array, I didnt understood well? ()

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:17:16 - 02:47:55
my results returned either 0. or 1. but not a decimal number between 0 and 1? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

my results returned either 0. or 1. but not a decimal number between 0 and 1?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:17:33 - 02:47:55
⌨️ () Create an Artificial Neural Network with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Create an Artificial Neural Network with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:18:39 - 00:24:36
Also,  is Ultra CUTE <3 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Also, is Ultra CUTE <3

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:19:21 - 02:47:55
can some one explain me about () input_shape in :Dense(units=16, input_shape=(1,),activation='relu') - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

can some one explain me about () input_shape in :Dense(units=16, input_shape=(1,),activation='relu')

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:23:45 - 02:47:55
⌨️ () Train an Artificial Neural Network with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Train an Artificial Neural Network with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:24:36 - 00:30:07
, the parameter "learning_rate" has been renamed to "lr" from version 2.2.* to 2.3.0 in September 2018 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

, the parameter "learning_rate" has been renamed to "lr" from version 2.2.* to 2.3.0 in September 2018

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:26:16 - 02:47:55
I’m not seeing the same output - it only prints out one epoch and then fails ? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I’m not seeing the same output - it only prints out one epoch and then fails ?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:28:35 - 02:47:55
Hi Mandy, I tried training neural network for the clinical trials example @. I am getting Nan for loss and 0.5 for accuracy. I ran the exact lines of code you did. What is the issue? BTW, I am not using the three lines of code to use the GPU. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Hi Mandy, I tried training neural network for the clinical trials example @. I am getting Nan for loss and 0.5 for accuracy. I ran the exact lines of code you did. What is the issue? BTW, I am not using the three lines of code to use the GPU.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:28:47 - 02:47:55
Hi, I'm new to the subject and eager to understand. ☺️ Watching the episode Train an Artificial Neural Network (circa ) and I understand the training but don't really understand whether the model there was just trained "theoretically", so to say, or was there any actual data input present, as I don't remember that being discussed. I understand that information is being added gradually and I can live with not knowing everything at once 😄, but this seems important - can I run a model without any actual input to check how it works or is it just not being shown. Sorry if I'm misunderstanding everything 😄😅 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Hi, I'm new to the subject and eager to understand. ☺️ Watching the episode Train an Artificial Neural Network (circa ) and I understand the training but don't really understand whether the model there was just trained "theoretically", so to say, or was there any actual data input present, as I don't remember that being discussed. I understand that information is being added gradually and I can live with not knowing everything at once 😄, but this seems important - can I run a model without any actual input to check how it works or is it just not being shown. Sorry if I'm misunderstanding everything 😄😅

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:29:00 - 02:47:55
⌨️ () Build a Validation Set With TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Build a Validation Set With TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:30:07 - 00:39:28
⌨️ () Neural Network Predictions with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Neural Network Predictions with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:39:28 - 00:47:48
At  if the test set should be scaled the same way the train set was, shouldn't we be using scaler.transform (i.e. without fitting the scaler again). - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

At if the test set should be scaled the same way the train set was, shouldn't we be using scaler.transform (i.e. without fitting the scaler again).

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:43:06 - 02:47:55
you shouldn't call fit_transform on test_samples in . You should use the same scaler that was fitted on train_samples. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

you shouldn't call fit_transform on test_samples in . You should use the same scaler that was fitted on train_samples.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:43:20 - 02:47:55
Thank you for this nice video, it really got me started. But I think there is one bad habit involved: "Never normalize your test data on its own but rather on the train data!" (This is what you read in many forums and for example in Chollet's "Deep Learning with Python" book. I think at  it should be scaler.transform(test_samples.reshape(-1,1)) as this takes the fitted scaler from the train_samples. Correct me if I am wrong :) - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Thank you for this nice video, it really got me started. But I think there is one bad habit involved: "Never normalize your test data on its own but rather on the train data!" (This is what you read in many forums and for example in Chollet's "Deep Learning with Python" book. I think at it should be scaler.transform(test_samples.reshape(-1,1)) as this takes the fitted scaler from the train_samples. Correct me if I am wrong :)

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:43:24 - 02:47:55
why need batch_size for prediction? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

why need batch_size for prediction?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:43:31 - 02:47:55
⌨️ () Create a Confusion Matrix for Neural Network Predictions - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Create a Confusion Matrix for Neural Network Predictions

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:47:48 - 00:52:29
@ lol 420 woohoo - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

@ lol 420 woohoo

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:51:40 - 02:47:55
⌨️ () Save and Load a Model with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Save and Load a Model with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:52:29 - 01:01:25
too cute - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

too cute

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
00:58:49 - 02:47:55
⌨️ () Image Preparation for CNNs with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Image Preparation for CNNs with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:01:25 - 01:19:22
I think all the photos were meant to be directly under the dogs-vs-cats folder as per the later demonstration. Cause at 1:08:33, all the remaining photos were directly under dogs-vs-cats folder. Not dogs-vs-cats/train. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I think all the photos were meant to be directly under the dogs-vs-cats folder as per the later demonstration. Cause at 1:08:33, all the remaining photos were directly under dogs-vs-cats folder. Not dogs-vs-cats/train.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:03:45 - 02:47:55
/ 2:47:54 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

/ 2:47:54

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:04:54 - 02:47:55
did u get past the for loops part? at - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

did u get past the for loops part? at

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:08:14 - 02:47:55
When she did "flow_from_directory" at  she passed in a list of labels there which are then saved in the "train_batches" Generator object. When she does "next(train_batches)" she gets access to the actual images and labels in the batch. She talks a bit more about this at 1:26:00 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

When she did "flow_from_directory" at she passed in a list of labels there which are then saved in the "train_batches" Generator object. When she does "next(train_batches)" she gets access to the actual images and labels in the batch. She talks a bit more about this at 1:26:00

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:12:00 - 02:47:55
Shuffling in Test dataset VGG: At , Mandy says not to shuffle test dataset so that confusion matrix remains valid. I didn't get this, why would shuffling test dataset cause any problem?? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Shuffling in Test dataset VGG: At , Mandy says not to shuffle test dataset so that confusion matrix remains valid. I didn't get this, why would shuffling test dataset cause any problem??

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:13:54 - 02:47:55
what has shuffling to do with confusion matrix? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

what has shuffling to do with confusion matrix?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:14:00 - 02:47:55
how did we obtain the labels for the images ? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

how did we obtain the labels for the images ?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:15:29 - 02:47:55
One simple question @, how to know that 1 represents a dog and 0 represents a cat. Is it by comparing the pictures with the labels from the output of the plotImages function or is there some way to know it - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

One simple question @, how to know that 1 represents a dog and 0 represents a cat. Is it by comparing the pictures with the labels from the output of the plotImages function or is there some way to know it

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:16:13 - 02:47:55
⌨️ () Build and Train a CNN with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Build and Train a CNN with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:19:22 - 01:28:42
@ you mentioned padding='same' means images will have 0-padding. That's incorrect, right? Same padding means that the output has the same size as input. You do mention that. Just that it won't be 0-padding. p = (k-1)/2. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

@ you mentioned padding='same' means images will have 0-padding. That's incorrect, right? Same padding means that the output has the same size as input. You do mention that. Just that it won't be 0-padding. p = (k-1)/2.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:21:00 - 02:47:55
@  I am getting error Error "when checking input: expected conv2d_3_input to have shape (224, 224, 3) but got array with shape (244, 244, 3)" How to resolve this? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

@ I am getting error Error "when checking input: expected conv2d_3_input to have shape (224, 224, 3) but got array with shape (244, 244, 3)" How to resolve this?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:25:00 - 02:47:55
⌨️ () CNN Predictions with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () CNN Predictions with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:28:42 - 01:37:05
- I don't get what she means. Maybe it didn't come out well. She says we don't want to shuffle the test set to plot the confusion matrix but from what she says it seems that the problem is that we don't have a 1-to-1 match between labels and samples which is not true. So why does the confusion matrix requires the set to be unshuffled? - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

- I don't get what she means. Maybe it didn't come out well. She says we don't want to shuffle the test set to plot the confusion matrix but from what she says it seems that the problem is that we don't have a 1-to-1 match between labels and samples which is not true. So why does the confusion matrix requires the set to be unshuffled?

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:32:10 - 02:47:55
⌨️ () Build a Fine-Tuned Neural Network with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Build a Fine-Tuned Neural Network with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:37:05 - 01:48:19
I am getting error in   in [83] run in for loop.it says :Input 0 of layer block1_conv1 is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2] - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I am getting error in in [83] run in for loop.it says :Input 0 of layer block1_conv1 is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2]

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:44:16 - 02:47:55
⌨️ () Train a Fine-Tuned Neural Network with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Train a Fine-Tuned Neural Network with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:48:19 - 01:52:39
to the model in  (vgg16)one run per epoch needs nearly 5 min for me while it takes just a few seconds for you. do you know why? (maybe i do not use a gpu?) - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

to the model in (vgg16)one run per epoch needs nearly 5 min for me while it takes just a few seconds for you. do you know why? (maybe i do not use a gpu?)

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:50:00 - 02:47:55
⌨️ () Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:52:39 - 01:57:50
⌨️ () MobileNet Image Classification with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () MobileNet Image Classification with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
01:57:50 - 02:11:18
... classifying lizard 🦎 - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

... classifying lizard 🦎

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:06:40 - 02:47:55
I though it was called deeplizard because she looks like a lizard (also though that was the reason the lizard in the logo was female), but I guess that was just an indirect reason. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

I though it was called deeplizard because she looks like a lizard (also though that was the reason the lizard in the logo was female), but I guess that was just an indirect reason.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:07:00 - 02:47:55
- Expresso is just the coffee. It becomes a cappuccino when you add milk and foam. If it's getting classified as expresso then I wonder if the original dataset labels were added incorrectly by human editors that didn't know the difference. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

- Expresso is just the coffee. It becomes a cappuccino when you add milk and foam. If it's getting classified as expresso then I wonder if the original dataset labels were added incorrectly by human editors that didn't know the difference.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:09:10 - 02:47:55
⌨️ () Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:11:18 - 02:24:24
⌨️ () Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:24:24 - 02:38:59
You need to add one more layer before the Dense output with 10 neurons since the chosen modified layer is not working as for today (22nd July 2022). You can add it as x = tf.keras.layers.Flatten()(x) . Hope this helps. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

You need to add one more layer before the Dense output with 10 neurons since the chosen modified layer is not working as for today (22nd July 2022). You can add it as x = tf.keras.layers.Flatten()(x) . Hope this helps.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:26:42 - 02:47:55
- When I run the same code I get different numbers. Total params is the same but I get:2,136,074 Trainable params1,103,040 Non Trainable params. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

- When I run the same code I get different numbers. Total params is the same but I get:2,136,074 Trainable params1,103,040 Non Trainable params.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:30:44 - 02:47:55
At   ❤️ cute - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

At ❤️ cute

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:31:42 - 02:47:55
⌨️ () Data Augmentation with TensorFlow' Keras API - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Data Augmentation with TensorFlow' Keras API

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:38:59 - 02:47:24
Nice. - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Nice.

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:46:04 - 02:47:55
your cam got augmented too (and flipped upwards) :DNonetheless awesome course! - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

your cam got augmented too (and flipped upwards) :DNonetheless awesome course!

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:46:15 - 02:47:55
⌨️ () Collective Intelligence and the DEEPLIZARD HIVEMIND - Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

⌨️ () Collective Intelligence and the DEEPLIZARD HIVEMIND

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
2020年06月18日
02:47:24 - 02:47:55
freeCodeCamp.org

freeCodeCamp.org

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【予測】700万人まであと70日(2022年12月16日)

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Timetable

動画タイムテーブル

動画数:47件

⌨️ () Intro - Data Analysis with Python for Excel Users - Full Course

⌨️ () Intro

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:00:00 - 00:01:48
⌨️ () Install Python and Jupyter Notebook with Anaconda - Data Analysis with Python for Excel Users - Full Course

⌨️ () Install Python and Jupyter Notebook with Anaconda

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:01:48 - 00:03:53
⌨️ () Jupyter Notebook Interface - Data Analysis with Python for Excel Users - Full Course

⌨️ () Jupyter Notebook Interface

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:03:53 - 00:13:56
⌨️ () Cell Types and Cell Mode - Data Analysis with Python for Excel Users - Full Course

⌨️ () Cell Types and Cell Mode

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:13:56 - 00:21:34
⌨️ () Jupyter Notebook Shortcuts - Data Analysis with Python for Excel Users - Full Course

⌨️ () Jupyter Notebook Shortcuts

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:21:34 - 00:26:39
⌨️ () Module 1 - Hello World - Data Analysis with Python for Excel Users - Full Course

⌨️ () Module 1 - Hello World

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:26:39 - 00:30:30
⌨️ () Data Type - Data Analysis with Python for Excel Users - Full Course

⌨️ () Data Type

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:30:30 - 00:39:10
Like the way you have explained the concepts - thanks Frank.  Not sure if I missed out, but I could not find anything related to tuples between the timestamp  to 1:21:50.  Is it explained later? - Data Analysis with Python for Excel Users - Full Course

Like the way you have explained the concepts - thanks Frank. Not sure if I missed out, but I could not find anything related to tuples between the timestamp to 1:21:50. Is it explained later?

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:39:10 - 03:57:46
⌨️ () Variables - Data Analysis with Python for Excel Users - Full Course

⌨️ () Variables

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:39:10 - 00:46:53
⌨️ () Lists - Data Analysis with Python for Excel Users - Full Course

⌨️ () Lists

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
00:46:53 - 01:11:14
⌨️ () Dictionaries - Data Analysis with Python for Excel Users - Full Course

⌨️ () Dictionaries

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:11:14 - 01:21:50
⌨️ () IF Statement - Data Analysis with Python for Excel Users - Full Course

⌨️ () IF Statement

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:21:50 - 01:28:04
⌨️ () FOR Loop - Data Analysis with Python for Excel Users - Full Course

⌨️ () FOR Loop

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:28:04 - 01:33:49
⌨️ () Functions - Data Analysis with Python for Excel Users - Full Course

⌨️ () Functions

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:33:49 - 01:40:59
⌨️ () Modules - Data Analysis with Python for Excel Users - Full Course

⌨️ () Modules

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:40:59 - 01:44:41
⌨️ () Module 2 -Introduction to Pandas - Data Analysis with Python for Excel Users - Full Course

⌨️ () Module 2 -Introduction to Pandas

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:44:41 - 01:51:08
⌨️ () How to create a dataframe - Data Analysis with Python for Excel Users - Full Course

⌨️ () How to create a dataframe

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
01:51:08 - 02:07:34
⌨️ () How to show a dataframe - Data Analysis with Python for Excel Users - Full Course

⌨️ () How to show a dataframe

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:07:34 - 02:14:24
⌨️ () Basic Attributes, Functions and Methods - Data Analysis with Python for Excel Users - Full Course

⌨️ () Basic Attributes, Functions and Methods

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:14:24 - 02:26:17
⌨️ () Selecting One Column from a Dataframe - Data Analysis with Python for Excel Users - Full Course

⌨️ () Selecting One Column from a Dataframe

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:26:17 - 02:32:13
⌨️ () Selecting Two or More Columns from a Dataframe - Data Analysis with Python for Excel Users - Full Course

⌨️ () Selecting Two or More Columns from a Dataframe

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:32:13 - 02:37:50
⌨️ () Add New Column to a Dataframe (Simple Assignment) - Data Analysis with Python for Excel Users - Full Course

⌨️ () Add New Column to a Dataframe (Simple Assignment)

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:37:50 - 02:47:51
⌨️ () Operations in dataframes - Data Analysis with Python for Excel Users - Full Course

⌨️ () Operations in dataframes

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:47:51 - 02:56:04
Excuse me, off topic question, I just want to know how did you add the bracket symbols and the single quote symbols to both sides of the selected string, like in ? Btw, thank you so much. The course is helpful and easy to follow for such a new data learner like me. - Data Analysis with Python for Excel Users - Full Course

Excuse me, off topic question, I just want to know how did you add the bracket symbols and the single quote symbols to both sides of the selected string, like in ? Btw, thank you so much. The course is helpful and easy to follow for such a new data learner like me.

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:53:04 - 03:57:46
⌨️ () The value_counts() method - Data Analysis with Python for Excel Users - Full Course

⌨️ () The value_counts() method

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
02:56:04 - 03:00:16
⌨️ () Sort a DataFrame with the sort_values() method - Data Analysis with Python for Excel Users - Full Course

⌨️ () Sort a DataFrame with the sort_values() method

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:00:16 - 03:09:56
@ how did you open that ... not sure what to call it ... dialog box? drop down? - Data Analysis with Python for Excel Users - Full Course

@ how did you open that ... not sure what to call it ... dialog box? drop down?

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:02:43 - 03:57:46
I didn't understand the use of the lambda function in the ordering section (), as you are trying to lower() the values but none of those are becoming lower. Could you explain deeper what failed there? - Data Analysis with Python for Excel Users - Full Course

I didn't understand the use of the lambda function in the ordering section (), as you are trying to lower() the values but none of those are becoming lower. Could you explain deeper what failed there?

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:09:40 - 03:57:46
⌨️ () Module 3: Introduction to Pivot Tables in Pandas - Data Analysis with Python for Excel Users - Full Course

⌨️ () Module 3: Introduction to Pivot Tables in Pandas

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:09:56 - 03:14:42
⌨️ () The pivot() method - Data Analysis with Python for Excel Users - Full Course

⌨️ () The pivot() method

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:14:42 - 03:20:49
⌨️ () The pivot_table() method - Data Analysis with Python for Excel Users - Full Course

⌨️ () The pivot_table() method

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:20:49 - 03:29:00
hahahahahahahahahahah Men spend MORE money on beauty (and health) than women :P . This can not be true  :D :D :D - Data Analysis with Python for Excel Users - Full Course

hahahahahahahahahahah Men spend MORE money on beauty (and health) than women :P . This can not be true :D :D :D

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:28:58 - 03:57:46
⌨️ () Data Visualization with Pandas (New Dataset + Pivot Table) - Data Analysis with Python for Excel Users - Full Course

⌨️ () Data Visualization with Pandas (New Dataset + Pivot Table)

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:29:00 - 03:38:38
⌨️ () Lineplot - Data Analysis with Python for Excel Users - Full Course

⌨️ () Lineplot

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:38:38 - 03:43:05
⌨️ () Barplot - Data Analysis with Python for Excel Users - Full Course

⌨️ () Barplot

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:43:05 - 03:50:52
⌨️ () Piechart - Data Analysis with Python for Excel Users - Full Course

⌨️ () Piechart

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:50:52 - 03:54:36
⌨️ () Save Plot and Export Pivot Table - Data Analysis with Python for Excel Users - Full Course

⌨️ () Save Plot and Export Pivot Table

Data Analysis with Python for Excel Users - Full Course
2021年11月25日
03:54:36 - 03:57:46
⌨️ () Introduction - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () Introduction

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:00:00 - 00:01:13
⌨️ () Introduction to Shiny - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () Introduction to Shiny

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:01:13 - 00:08:24
⌨️ () App 1 – Print User Input - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () App 1 – Print User Input

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:08:24 - 00:21:12
⌨️ () App 2 – Display Histogram - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () App 2 – Display Histogram

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:21:12 - 00:32:07
⌨️ () App 3 – Machine Learning (Weather Dataset) - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () App 3 – Machine Learning (Weather Dataset)

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:32:07 - 00:47:51
⌨️ () App 4 – Machine Learning (Iris Dataset) - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () App 4 – Machine Learning (Iris Dataset)

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
00:47:51 - 01:05:03
⌨️ () App 5 – BMI Calculator - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () App 5 – BMI Calculator

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
01:05:03 - 01:19:18
⌨️ () Deploy Shiny Apps to Heroku - R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

⌨️ () Deploy Shiny Apps to Heroku

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
2021年09月22日
01:19:18 - 01:26:19
⌨️ () Installing Python and Jupyter - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Installing Python and Jupyter

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:06:50 - 00:09:35
⌨️ () Working with the Jupyter environment - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Working with the Jupyter environment

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:09:35 - 00:12:05
⌨️ () Finding data sources and using APIs - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Finding data sources and using APIs

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:12:05 - 00:16:35
⌨️ () Working with data - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Working with data

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:16:35 - 00:24:45
⌨️ () Plotting data - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Plotting data

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:24:45 - 00:32:45
⌨️ () Understanding data - Data Analytics Crash Course: Teach Yourself in 30 Days

⌨️ () Understanding data

Data Analytics Crash Course: Teach Yourself in 30 Days
2021年06月16日
00:32:45 - 00:38:19
⌨️ () 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
⌨️ () introduction - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () introduction

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:00:00 - 00:03:08
i did not underestand why after changing k value from 5 to 1 prediction diagram changed ? knn  is a classification algoithm but here it was like a regration - Scikit-learn Crash Course - Machine Learning Library for Python

i did not underestand why after changing k value from 5 to 1 prediction diagram changed ? knn is a classification algoithm but here it was like a regration

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:00:19 - 02:09:22
⌨️ () introducing scikit-learn - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () introducing scikit-learn

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:03:08 - 00:34:36
pipe - Scikit-learn Crash Course - Machine Learning Library for Python

pipe

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:16:00 - 00:23:45
How do you do what he did at  with jupyter? - Scikit-learn Crash Course - Machine Learning Library for Python

How do you do what he did at with jupyter?

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:18:54 - 02:09:22
grid search - Scikit-learn Crash Course - Machine Learning Library for Python

grid search

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:23:45 - 00:37:00
using space instead of tab .... stops watching :) (joke) great video - Scikit-learn Crash Course - Machine Learning Library for Python

using space instead of tab .... stops watching :) (joke) great video

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:25:50 - 02:09:22
Yikes! Big Yikes! - Scikit-learn Crash Course - Machine Learning Library for Python

Yikes! Big Yikes!

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:30:59 - 02:09:22
fire statement!! - Scikit-learn Crash Course - Machine Learning Library for Python

fire statement!!

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:31:31 - 02:09:22
⌨️ () preprocessing - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () preprocessing

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:34:36 - 00:53:36
as a non-American, it is so satisfying hearing z read as 'zed' not 'zi'. lol - Scikit-learn Crash Course - Machine Learning Library for Python

as a non-American, it is so satisfying hearing z read as 'zed' not 'zi'. lol

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:35:56 - 02:09:22
standard scaler - Scikit-learn Crash Course - Machine Learning Library for Python

standard scaler

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:37:00 - 00:42:00
quantiles better - Scikit-learn Crash Course - Machine Learning Library for Python

quantiles better

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:42:00 - 00:46:55
… - Scikit-learn Crash Course - Machine Learning Library for Python

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:46:55 - 00:55:00
count vecotorizer is a really good preprocessor for that too in my opinion - Scikit-learn Crash Course - Machine Learning Library for Python

count vecotorizer is a really good preprocessor for that too in my opinion

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:50:00 - 02:09:22
⌨️ () metrics - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () metrics

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:53:36 - 01:24:49
fraud ex - Scikit-learn Crash Course - Machine Learning Library for Python

fraud ex

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
00:55:00 - 02:09:22
what’s the answer though? - Scikit-learn Crash Course - Machine Learning Library for Python

what’s the answer though?

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
01:11:00 - 02:09:22
⌨️ () meta-estimators - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () meta-estimators

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
01:24:49 - 01:45:34
where is that make_plots function from, at - Scikit-learn Crash Course - Machine Learning Library for Python

where is that make_plots function from, at

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
01:31:00 - 02:09:22
⌨️ () human-learn - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () human-learn

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
01:45:34 - 02:06:17
Great video ! At  you could use ".values" at the end instead of np.array in the beginning. - Scikit-learn Crash Course - Machine Learning Library for Python

Great video ! At you could use ".values" at the end instead of np.array in the beginning.

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
01:49:40 - 02:09:22
⌨️ () wrap-up - Scikit-learn Crash Course - Machine Learning Library for Python

⌨️ () wrap-up

Scikit-learn Crash Course - Machine Learning Library for Python
2021年04月08日
02:06:17 - 02:09:22
Course Introduction - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Course Introduction

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:00:00 - 00:01:42
Python Programming Fundamentals - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Python Programming Fundamentals

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:01:42 - 00:02:40
Course Curriculum - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Course Curriculum

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:02:40 - 00:05:24
Notebook - First Steps with Python and Jupyter - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - First Steps with Python and Jupyter

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:05:24 - 00:08:30
Performing Arithmetic Operations with Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Performing Arithmetic Operations with Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:08:30 - 00:11:34
Solving Multi-step problems using variables - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Solving Multi-step problems using variables

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:11:34 - 00:20:17
@Nijaguna Darshan I got it from the problem I read @ . It says "A grocery store SELLS an ice bag for $1.25".You don't SELL goods at COST. Then it again said that, the profit is 20%.If the SELLING price is $1.25 and 20% is profit, then 80% should be its COST.Now if you multiply $1.25 with 80% you will get $1.00, don't you.? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

@Nijaguna Darshan I got it from the problem I read @ . It says "A grocery store SELLS an ice bag for $1.25".You don't SELL goods at COST. Then it again said that, the profit is 20%.If the SELLING price is $1.25 and 20% is profit, then 80% should be its COST.Now if you multiply $1.25 with 80% you will get $1.00, don't you.?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:12:00 - 09:56:23
I think there was a typo error in your very first grocery store Profit working @ . The price is 1.25 not the cost of the item as you typed. The cost will be 1.00.Or maybe I missed something 🤔 - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

I think there was a typo error in your very first grocery store Profit working @ . The price is 1.25 not the cost of the item as you typed. The cost will be 1.00.Or maybe I missed something 🤔

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:12:00 - 09:56:23
Combining conditions with Logical operators - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Combining conditions with Logical operators

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:20:17 - 00:22:22
Adding text using Markdown - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Adding text using Markdown

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:22:22 - 00:23:50
Saving and Uploading to Jovian - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Saving and Uploading to Jovian

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:23:50 - 00:26:38
Variables and Datatypes in Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Variables and Datatypes in Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:26:38 - 00:31:28
Built-in Data types in Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Built-in Data types in Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
00:31:28 - 01:07:19
Further Reading - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Further Reading

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:07:19 - 01:08:46
Branching Loops and Functions - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Branching Loops and Functions

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:08:46 - 01:09:02
Notebook - Branching using conditional  statements and loops in Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - Branching using conditional statements and loops in Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:09:02 - 01:09:24
Branching with if, else, elif - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Branching with if, else, elif

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:09:24 - 01:15:25
Non Boolean conditions - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Non Boolean conditions

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:15:25 - 01:19:00
Iteration with while loops - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Iteration with while loops

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:19:00 - 01:28:57
My timestamp: - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

My timestamp:

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:21:00 - 09:56:23
solution for  anyone ? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

solution for anyone ?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:23:42 - 09:56:23
Iteration with for loops - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Iteration with for loops

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:28:57 - 01:36:27
Functions and scope in Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Functions and scope in Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:36:27 - 01:36:53
Creating and using functions - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Creating and using functions

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:36:53 - 01:42:24
@ For clarification we refer to function variables as Parameters at the function definition and as Arguments at the function invocation (call). - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

@ For clarification we refer to function variables as Parameters at the function definition and as Arguments at the function invocation (call).

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:39:48 - 09:56:23
Writing great functions in Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Writing great functions in Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:42:24 - 01:45:38
Local variables and scope - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Local variables and scope

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
01:45:38 - 02:08:19
puting a time stamp at @ so I can remember XD - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

puting a time stamp at @ so I can remember XD

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:00:00 - 09:56:23
Documentation functions using Docstrings - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Documentation functions using Docstrings

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:08:19 - 02:11:40
Exercise - Data Analysis for Vacation Planning - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Exercise - Data Analysis for Vacation Planning

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:11:40 - 02:17:17
Numercial Computing with Numpy - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Numercial Computing with Numpy

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:17:17 - 02:18:00
Notebook - Numerical Computing with Numpy - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - Numerical Computing with Numpy

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:18:00 - 02:26:09
pokemon fans got the reference - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

pokemon fans got the reference

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:21:45 - 09:56:23
just for me: - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

just for me:

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:25:40 - 09:56:23
From Python Lists to Numpy Arrays - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

From Python Lists to Numpy Arrays

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:26:09 - 02:29:09
Operating on Numpy Arrays - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Operating on Numpy Arrays

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:29:09 - 02:34:33
In  if we did de np.dot gets wrong value when compared with loop routine. Did someone see this? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

In if we did de np.dot gets wrong value when compared with loop routine. Did someone see this?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:33:09 - 09:56:23
at  min in this videomy np.dot product is coming in negative but while doing by zip function the answer is correct.and if i copy paste from the notes provided by still answer is note same. and under 1000 range answer is giving exact values - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

at min in this videomy np.dot product is coming in negative but while doing by zip function the answer is correct.and if i copy paste from the notes provided by still answer is note same. and under 1000 range answer is giving exact values

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:33:16 - 09:56:23
Multidimensional Numpy Arrays - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Multidimensional Numpy Arrays

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
02:34:33 - 03:03:41
Array Indexing and Slicing - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Array Indexing and Slicing

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:03:41 - 03:17:49
My timeline : - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

My timeline :

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:03:41 - 09:56:23
I am at @ - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

I am at @

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:03:50 - 09:56:23
"if you don't know these terms - don't worry about it" XD LMAO - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

"if you don't know these terms - don't worry about it" XD LMAO

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:14:07 - 09:56:23
Exercises and Further Reading - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Exercises and Further Reading

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:17:49 - 03:20:50
Assignment 2 - Numpy Array Operations - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Assignment 2 - Numpy Array Operations

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:20:50 - 03:29:16
100 Numpy Exercises - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

100 Numpy Exercises

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:29:16 - 03:31:25
Reading from and Writing to Files using Python - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Reading from and Writing to Files using Python

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:31:25 - 04:02:59
- The 104 Dislikers start to bark in the background. - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

- The 104 Dislikers start to bark in the background.

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
03:47:48 - 09:56:23
Analysing Tabular Data with Pandas - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Analysing Tabular Data with Pandas

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
04:02:59 - 04:03:58
Notebook - Analyzing Tabular Data with Pandas - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - Analyzing Tabular Data with Pandas

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
04:03:58 - 04:16:33
Retrieving Data from a Data Frame - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Retrieving Data from a Data Frame

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
04:16:33 - 04:32:00
Analyzing Data from Data Frames - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Analyzing Data from Data Frames

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
04:32:00 - 04:36:27
Querying and Sorting Rows - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Querying and Sorting Rows

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
04:36:27 - 05:01:45
Grouping and Aggregation - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Grouping and Aggregation

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:01:45 - 05:11:26
Merging Data from Multiple Sources - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Merging Data from Multiple Sources

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:11:26 - 05:26:00
Basic Plotting with Pandas - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Basic Plotting with Pandas

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:26:00 - 05:38:27
Assignment 3 - Pandas Practice - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Assignment 3 - Pandas Practice

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:38:27 - 05:52:48
Visualization with Matplotlib and Seaborn - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Visualization with Matplotlib and Seaborn

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:52:48 - 05:54:04
Notebook - Data Visualization with Matplotlib and Seaborn - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - Data Visualization with Matplotlib and Seaborn

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
05:54:04 - 06:06:43
Line Charts - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Line Charts

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:06:43 - 06:11:27
Improving Default Styles with Seaborn - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Improving Default Styles with Seaborn

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:11:27 - 06:16:51
Scatter Plots - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Scatter Plots

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:16:51 - 06:28:14
Histogram - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Histogram

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:28:14 - 06:38:47
Bar Chart - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Bar Chart

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:38:47 - 06:50:00
Heatmap - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Heatmap

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:50:00 - 06:57:08
Please HELP!!!!! At  , when I am creating the pivot table, the months are in ascending order alphabetically. How can I convert them into the custom order Jan, Feb, March.....? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Please HELP!!!!! At , when I am creating the pivot table, the months are in ascending order alphabetically. How can I convert them into the custom order Jan, Feb, March.....?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:52:45 - 09:56:23
Displaying Images with Matplotlib - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Displaying Images with Matplotlib

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
06:57:08 - 07:03:37
Plotting multiple charts in a grid - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Plotting multiple charts in a grid

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
07:03:37 - 07:15:42
References and further reading - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

References and further reading

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
07:15:42 - 07:20:17
Course Project - Exploratory Data Analysis - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Course Project - Exploratory Data Analysis

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
07:20:17 - 07:49:56
Exploratory Data Analysis - A Case Study - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Exploratory Data Analysis - A Case Study

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
07:49:56 - 07:50:55
Notebook - Exploratory Data Analysis - A case Study - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Notebook - Exploratory Data Analysis - A case Study

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
07:50:55 - 08:04:36
Data Preparation and Cleaning - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Data Preparation and Cleaning

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
08:04:36 - 08:19:37
Exploratory Analysis and Visualization - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Exploratory Analysis and Visualization

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
08:19:37 - 08:54:02
Asking and Answering Questions - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Asking and Answering Questions

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
08:54:02 - 09:22:57
Inferences and Conclusions - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Inferences and Conclusions

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:22:57 - 09:25:00
References and Future Work - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

References and Future Work

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:25:00 - 09:29:41
Setting up and running Locally - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Setting up and running Locally

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:29:41 - 09:34:21
Project Guidelines - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Project Guidelines

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:34:21 - 09:45:00
Course Recap - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Course Recap

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:45:00 - 09:48:01
What to do next? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

What to do next?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:48:01 - 09:49:10
Certificate of Accomplishment - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Certificate of Accomplishment

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:49:10 - 09:50:11
What to do after this course? - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

What to do after this course?

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:50:11 - 09:52:16
Jovian Platform - Data Analysis with Python Course - Numpy, Pandas, Data Visualization

Jovian Platform

Data Analysis with Python Course - Numpy, Pandas, Data Visualization
2021年02月19日
09:52:16 - 09:56:23