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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
5. Bootstrap/7. Bootstrap 4. Grids.mp4 273.6 MB
13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
5. Bootstrap/5. Bootstrap 3. Bootstrap Navbar Part 1.mp4 214.8 MB
15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
15. Object Oriented Programming/4. Object Oriented Programming - 4.Class Decorators.mp4 147.2 MB
9. Intro to Python/4. Python 4. Python Lists.mp4 138.8 MB

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Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/88 Day 6 Sequence-to-Sequence Models and Applications.mp4 157.0 MB
Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/8 Day 7 Pythonic Code and Project Work.mp4 144.3 MB
Chapter 14-Week 1 Python Basics/106 Learn Python from Scratch - Quick Tutorial.mp4 140.0 MB
Chapter 5-Week 5 Introduction to Machine Learning/37 Day 3 Advanced Regression Models â€“ Polynomial Regression and Regularization.mp4 128.4 MB
Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/83 Day 1 Introduction to Sequence Modeling and RNNs.mp4 121.9 MB
Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/3 Day 2 Control Flow in Python.mp4 119.4 MB
Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/5 Day 4 Data Structures --(Lists, Tuples, Dictionaries, Sets--).mp4 111.3 MB
Chapter 19-Week 6 Web Development with Python/143 Day 37 Personal Blog Website Routes --& Templates.mp4 104.7 MB
Chapter 21-Days 50 60 Intermediate Projects/156 Day 50 Weather Dashboard App.mp4 104.7 MB
Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/81 Day 7 CNN Project â€“ Image Classification on Fashion MNIST or CIFAR-10.mp4 100.6 MB
Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/16 Day 6 Data Visualization with Matplotlib and Seaborn.mp4 98.9 MB
Chapter 8-Week 8 Model Tuning and Optimization/61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 97.9 MB
Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/72 Day 6 Building Neural Networks with PyTorch.mp4 97.0 MB
Chapter 13-Week 13 Transfer Learning and Fine Tuning/100 Day 2 Transfer Learning in Computer Vision.mp4 96.8 MB
Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/75 Day 1 Introduction to Convolutional Neural Networks.mp4 95.9 MB
Chapter 13-Week 13 Transfer Learning and Fine Tuning/103 Day 5 Fine-Tuning Techniques in NLP.mp4 94.8 MB
Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/23 Day 5 Probability Theory and Distributions.mp4 92.6 MB
Chapter 23-Days 71 80 AI and Machine Learning Projects/179 Day 73 Handwriting Digit Recognition.mp4 92.0 MB
Chapter 21-Days 50 60 Intermediate Projects/159 Day 53 Tic-Tac-Toe Game.mp4 91.2 MB
Chapter 5-Week 5 Introduction to Machine Learning/41 Day 7 Supervised Learning Mini Project.mp4 90.9 MB

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6. Python - coding for more than just websites/67. Solutions.mp4 265.8 MB
4. Bootstrap - styling, made quick and easy/9. Solutions.mp4 186.8 MB
6. Python - coding for more than just websites/68. Solutions part 2.mp4 165.6 MB
17. Generative Adversarial Networks - creative neural networks/9. Solutions.mp4 141.6 MB
6. Python - coding for more than just websites/55. Solutions.mp4 133.0 MB
13. Deep learning - neural nets for powerful applications/12. Practical - applying neural net to titanic.mp4 131.3 MB
12. Django - Machine learning integration and AWS hosting/11. Your website online .. Runserver!.mp4 127.0 MB
3. CSS - universal styling of websites/24. Solutions.mp4 126.7 MB
15. Databases using Django/14. Online dictionary - solutions.mp4 123.1 MB
14. Convolutional Neural Networks/6. Practical - Image classifier - Preparing data.mp4 122.5 MB
6. Python - coding for more than just websites/49. Solutions #2.mp4 121.6 MB
13. Deep learning - neural nets for powerful applications/16. Practical - Handwritten digits.mp4 120.2 MB
6. Python - coding for more than just websites/51. Requests library.mp4 112.3 MB
19. BONUS Desktop GUIs - using Tkinter/14. Training a machine learning model through our GUI.mp4 108.2 MB
5. JavaScript - making your websites interactive/45. Solutions part 2.mp4 107.2 MB
1. Introduction/2. How to optimise your learning.mp4 97.8 MB
2. HTML - the building block of all websites/17. Solutions.mp4 97.1 MB
11. Machine learning - training algorithms on big data/7. Linear regression - y = wx + b.mp4 96.4 MB
12. Django - Machine learning integration and AWS hosting/16. Styling our website.mp4 95.1 MB
3. CSS - universal styling of websites/32. Art gallery ++ solutions.mp4 91.8 MB

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6. Python - coding for more than just websites/67. Solutions.mp4 265.8 MB
4. Bootstrap - styling, made quick and easy/9. Solutions.mp4 186.8 MB
6. Python - coding for more than just websites/68. Solutions part 2.mp4 165.6 MB
17. Generative Adversarial Networks - creative neural networks/9. Solutions.mp4 141.6 MB
6. Python - coding for more than just websites/55. Solutions.mp4 133.0 MB
13. Deep learning - neural nets for powerful applications/12. Practical - applying neural net to titanic.mp4 131.3 MB
12. Django - Machine learning integration and AWS hosting/11. Your website online .. Runserver!.mp4 127.0 MB
3. CSS - universal styling of websites/24. Solutions.mp4 126.7 MB
15. Databases using Django/14. Online dictionary - solutions.mp4 123.1 MB
14. Convolutional Neural Networks/6. Practical - Image classifier - Preparing data.mp4 122.5 MB
6. Python - coding for more than just websites/49. Solutions #2.mp4 121.6 MB
13. Deep learning - neural nets for powerful applications/16. Practical - Handwritten digits.mp4 120.2 MB
6. Python - coding for more than just websites/51. Requests library.mp4 112.3 MB
19. BONUS Desktop GUIs - using Tkinter/14. Training a machine learning model through our GUI.mp4 108.2 MB
5. JavaScript - making your websites interactive/45. Solutions part 2.mp4 107.2 MB
1. Introduction/2. How to optimise your learning.mp4 97.8 MB
2. HTML - the building block of all websites/17. Solutions.mp4 97.1 MB
11. Machine learning - training algorithms on big data/7. Linear regression - y = wx + b.mp4 96.4 MB
12. Django - Machine learning integration and AWS hosting/16. Styling our website.mp4 95.1 MB
3. CSS - universal styling of websites/32. Art gallery ++ solutions.mp4 91.8 MB

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6. Python - coding for more than just websites/67. Solutions.mp4 265.8 MB
4. Bootstrap - styling, made quick and easy/9. Solutions.mp4 186.8 MB
6. Python - coding for more than just websites/68. Solutions part 2.mp4 165.6 MB
17. Generative Adversarial Networks - creative neural networks/9. Solutions.mp4 141.6 MB
6. Python - coding for more than just websites/55. Solutions.mp4 133.0 MB
13. Deep learning - neural nets for powerful applications/12. Practical - applying neural net to titanic.mp4 131.3 MB
12. Django - Machine learning integration and AWS hosting/11. Your website online .. Runserver!.mp4 127.0 MB
3. CSS - universal styling of websites/24. Solutions.mp4 126.7 MB
15. Databases using Django/14. Online dictionary - solutions.mp4 123.1 MB
14. Convolutional Neural Networks/6. Practical - Image classifier - Preparing data.mp4 122.5 MB
6. Python - coding for more than just websites/49. Solutions #2.mp4 121.6 MB
13. Deep learning - neural nets for powerful applications/16. Practical - Handwritten digits.mp4 120.2 MB
6. Python - coding for more than just websites/51. Requests library.mp4 112.3 MB
19. BONUS Desktop GUIs - using Tkinter/14. Training a machine learning model through our GUI.mp4 108.2 MB
5. JavaScript - making your websites interactive/45. Solutions part 2.mp4 107.2 MB
1. Introduction/2. How to optimise your learning.mp4 97.8 MB
2. HTML - the building block of all websites/17. Solutions.mp4 97.1 MB
11. Machine learning - training algorithms on big data/7. Linear regression - y = wx + b.mp4 96.4 MB
12. Django - Machine learning integration and AWS hosting/16. Styling our website.mp4 95.1 MB
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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB

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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB

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37 - Convolutional Neural Networks/010 dataset.zip 232.4 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
37 - Convolutional Neural Networks/016 Hands-on CNN Training Using Jupyter Notebook for Image Classification.mp4 76.3 MB
41 - Kernel PCA/002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4 72.2 MB
43 - Model Selection/004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4 71.1 MB
40 - Linear Discriminant Analysis (LDA)/003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4 68.1 MB
43 - Model Selection/005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4 65.9 MB
20 - Naive Bayes/001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4 65.6 MB
29 - Apriori/008 Step 3 Optimizing Product Placement - Apriori Algorithm, Lift --& Confidence.mp4 65.2 MB
29 - Apriori/006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4 64.2 MB
29 - Apriori/005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4 63.6 MB
37 - Convolutional Neural Networks/007 Step 4 - Fully Connected Layers in CNNs Optimizing Feature Combination.mp4 62.6 MB
33 - Thompson Sampling/008 Step 1 - Thompson Sampling vs UCB Optimizing Ad Click-Through Rates in R.mp4 61.5 MB
33 - Thompson Sampling/001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4 61.3 MB
44 - XGBoost/003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4 60.3 MB
36 - Artificial Neural Networks/011 Step 2 - TensorFlow 2.0 Tutorial Preprocessing Data for Customer Churn Model.mp4 60.1 MB
37 - Convolutional Neural Networks/009 Deep Learning Essentials Understanding Softmax and Cross-Entropy in CNNs.mp4 59.2 MB
29 - Apriori/001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining Association Rules.mp4 58.8 MB
32 - Upper Confidence Bound (UCB)/012 Step 3 Optimizing Ad Selection - UCB --& Multi-Armed Bandit Algorithm Explained.mp4 58.4 MB
37 - Convolutional Neural Networks/013 Step 3 - TensorFlow CNN Convolution to Output Layer for Vision Tasks.mp4 57.9 MB

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11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
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11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB

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