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3. BEGINNER PYTHON FUNDAMENTALS - Part C/6. Matplotlib - Part 2.mp4 402.4 MB
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3. BEGINNER PYTHON FUNDAMENTALS - Part C/2. Numpy Basics - Part 2.mp4 313.6 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/7. Matplotlib - Part 3.mp4 288.6 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/8. Seaborn.mp4 279.6 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/3. Pandas - Part 1.mp4 259.5 MB
3. BEGINNER PYTHON FUNDAMENTALS - Part C/4. Pandas - Part 2.mp4 248.8 MB
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01 - Exercise 0 - The Setup (Linux).mp4 1.1 GB
28 - Exercise 23 - Strings, Bytes, and Character Encodings.mp4 752.4 MB
58 - Exercise 51 - Getting Input From a Browser (macOS).mp4 544.1 MB
52 - Exercise 46 - A Project Skeleton (Windows).mp4 490.4 MB
03 - Exercise 0 - The Setup (Windows).mp4 443.9 MB
48 - Exercise 43 - Basic Object-Oriented Analysis and Design.mp4 432.1 MB
54 - Exercise 48 - Advanced User Input.mp4 429.7 MB
45 - Exercise 40 - Modules, Classes, and Objects.mp4 424.0 MB
51 - Exercise 46 - A Project Skeleton (macOS).mp4 417.4 MB
26 - Exercise 21 - Functions Can Return Something.mp4 388.6 MB
46 - Exercise 41 - Learning to Speak Object-Oriented.mp4 361.2 MB
10 - Exercise 5 - More Variables and Printing.mp4 324.1 MB
59 - Exercise 51 - Getting Input From a Browser (Windows).mp4 322.8 MB
53 - Exercise 47 - Automated Testing.mp4 314.3 MB
55 - Exercise 49 - Making Sentences.mp4 313.5 MB
43 - Exercise 38 - Doing Things to Lists.mp4 299.7 MB
60 - Exercise 52 - The Start of Your Web Game (macOS).mp4 299.0 MB
61 - Exercise 52 - The Start of Your Web Game (Windows).mp4 297.2 MB
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01 - Exercise 0 - The Setup (Linux).mp4 1.1 GB
28 - Exercise 23 - Strings, Bytes, and Character Encodings.mp4 752.4 MB
58 - Exercise 51 - Getting Input From a Browser (macOS).mp4 544.1 MB
52 - Exercise 46 - A Project Skeleton (Windows).mp4 490.4 MB
03 - Exercise 0 - The Setup (Windows).mp4 443.9 MB
48 - Exercise 43 - Basic Object-Oriented Analysis and Design.mp4 432.1 MB
54 - Exercise 48 - Advanced User Input.mp4 429.7 MB
45 - Exercise 40 - Modules, Classes, and Objects.mp4 424.0 MB
51 - Exercise 46 - A Project Skeleton (macOS).mp4 417.4 MB
26 - Exercise 21 - Functions Can Return Something.mp4 388.6 MB
46 - Exercise 41 - Learning to Speak Object-Oriented.mp4 361.2 MB
10 - Exercise 5 - More Variables and Printing.mp4 324.1 MB
59 - Exercise 51 - Getting Input From a Browser (Windows).mp4 322.8 MB
53 - Exercise 47 - Automated Testing.mp4 314.3 MB
55 - Exercise 49 - Making Sentences.mp4 313.5 MB
43 - Exercise 38 - Doing Things to Lists.mp4 299.7 MB
60 - Exercise 52 - The Start of Your Web Game (macOS).mp4 299.0 MB
61 - Exercise 52 - The Start of Your Web Game (Windows).mp4 297.2 MB
56 - Exercise 50 - Your First Website (macOS).mp4 282.8 MB
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27. Portfolio Project Netflix Recommender Systems Introduction/11. Converting The Project To Object Oriented Programming Styles.mp4 162.5 MB
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28. OCR and Image To Text Conversion/10. Processing.mp4 159.5 MB
27. Portfolio Project Netflix Recommender Systems Introduction/12. Converting To Generic Class.mp4 138.6 MB
33. Gaussian Naive Bayes/1. Simply Explained.mp4 136.8 MB
27. Portfolio Project Netflix Recommender Systems Introduction/5. Data pre-processing.mp4 136.5 MB
25. GUI App Portfolio Project/10. Implementation Part 8.mp4 132.1 MB
34. Principal Component Analysis (PCA)/3. Let's Add Few More Details.mp4 127.1 MB
12. Python Object Oriented Programming/3. Objects & Motor Functions.mp4 124.4 MB
12. Python Object Oriented Programming/6. Super Keyword.mp4 119.9 MB
25. GUI App Portfolio Project/8. Implementation Part 6.mp4 117.1 MB
6. Loops and Data Iteration/3. Saving Code Space By Using FOR loops.mp4 115.0 MB
47. Deep Learning Image Classification Portfolio Project/3. Data Pre-Processing.mp4 114.5 MB
49. AI Web App Portfolio Project/8. Project Implementation Part 6.mp4 105.6 MB
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6. Loops and Data Iteration/7. Image Coordinates Shift Using For Loop.mp4 102.5 MB
3. Conditional Statements and Branching/6. What is my Grade Letter.mp4 101.1 MB
43. Natural Language Processing (NLP) and Text Comprehension/10. Text Frequency Analysis.mp4 98.3 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
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25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
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26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
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27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
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34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
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25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
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27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
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37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
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[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/7. 05 Screenshot the Game via Blueprint/3.1 01 source files.zip 762.8 MB
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[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/5. 03 Add Realism to the Procedural Level/4.3 03 Build Flat Materials for Image Segmentation.zip 692.7 MB
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[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/5. 03 Add Realism to the Procedural Level/4.1 01 Add Ground Material to Each Tile.zip 692.1 MB
[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/4. 02 Build Random Levels Automatically with Procedural Generation/8.4 07 Source Files.zip 692.1 MB
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[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/4. 02 Build Random Levels Automatically with Procedural Generation/8.2 05 Source Files.zip 692.0 MB
[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/4. 02 Build Random Levels Automatically with Procedural Generation/8.1 04 Source Files.zip 692.0 MB
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[TutsNode.net] - Unreal Image Generation and Segmentation ML with Python/5. 03 Add Realism to the Procedural Level/2. 02 Add Environment Models.mp4 193.1 MB
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26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
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37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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