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2. Sequence Types/10. Slicing - Lecture.mp4 689.2 MB
2. Sequence Types/8. Copying Sequences - Lecture.mp4 634.3 MB
12. Generators as Coroutines/2. Coroutines - Lecture.mp4 506.7 MB
10. Context Managers/2. Context Managers - Lecture.mp4 488.4 MB
9. Project 4/5. Project Solution Goal 4.mp4 475.6 MB
2. Sequence Types/24. List Comprehensions - Lecture.mp4 385.3 MB
2. Sequence Types/22. Sorting Sequences - Lecture.mp4 384.5 MB
9. Project 4/3. Project Solution Goal 2.mp4 382.1 MB
6. Generators/2. Yielding and Generator Functions - Lecture.mp4 380.0 MB
2. Sequence Types/2. Sequence Types - Lecture.mp4 369.1 MB
8. Iteration Tools/12. Mapping and Reducing - Lecture.mp4 341.6 MB
2. Sequence Types/7. Index Base and Slice Bounds - Rationale.mp4 327.6 MB
9. Project 4/2. Project Solution Goal 1.mp4 320.0 MB
12. Generators as Coroutines/6. Sending to Generators - Lecture.mp4 294.0 MB
7. Project 3/2. Project Solution Goal 1.mp4 280.5 MB
9. Project 4/1. Project - Description.mp4 250.5 MB
3. Project 1/2. Project Solution Goal 1.mp4 236.2 MB
2. Sequence Types/25. List Comprehensions - Coding.mp4 235.2 MB
10. Context Managers/8. Generators and Context Managers - Lecture.mp4 230.6 MB
2. Sequence Types/12. Custom Sequences - Part 1 - Lecture.mp4 230.0 MB

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[FreeCourseSite.com] Udemy - Python 3 Deep Dive (Part 1)

4. Numeric Types/11. Floats Equality Testing - Coding.mp4 249.4 MB
7. Scopes, Closures and Decorators/6. Closures - Lecture.mp4 199.6 MB
7. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.mp4 175.4 MB
4. Numeric Types/4. Integers Constructors and Bases - Lecture.mp4 143.0 MB
8. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.mp4 141.4 MB
8. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.mp4 134.1 MB
6. First-Class Functions/13. Reducing Functions - Lecture.mp4 131.7 MB
7. Scopes, Closures and Decorators/12. Decorator Application (Timer).mp4 131.7 MB
7. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.mp4 129.2 MB
4. Numeric Types/14. Floats Rounding - Lecture.mp4 128.1 MB
7. Scopes, Closures and Decorators/7. Closures - Coding.mp4 117.8 MB
7. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.mp4 116.4 MB
6. First-Class Functions/18. The operator Module - Coding.mp4 114.3 MB
6. First-Class Functions/11. Map, Filter, Zip and List Comprehensions - Lecture.mp4 111.3 MB
7. Scopes, Closures and Decorators/10. Decorators (Part 1) - Lecture.mp4 110.6 MB
7. Scopes, Closures and Decorators/4. Nonlocal Scopes - Lecture.mp4 110.3 MB
3. Variables and Memory/4. Garbage Collection.mp4 109.6 MB
8. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.mp4 109.3 MB
7. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.mp4 108.2 MB
4. Numeric Types/28. Booleans Precedence and Short-Circuiting - Lecture.mp4 107.8 MB

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[ FreeCourseWeb.com ] Udemy - Python and MySQL - A Deep Dive.zip

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[ TutGee.com ] Udemy - Artificial Intelligence with Machine Learning, Deep Learning

~Get Your Files Here !/5. Fundamentals of Machine Learning/19. Choosing the right algorithm and model.mp4 155.7 MB
~Get Your Files Here !/2. Evalution Metrics in Machine Learning/2. Evaluating Performance Classification Error Metrics in Machine Learning.mp4 117.5 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/14. Unsupervised Machine Learning Methods.mp4 92.2 MB
~Get Your Files Here !/9. Transfer Learning/1. What is Transfer Learning.mp4 89.4 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/20. Training and testing the model.mp4 87.8 MB
~Get Your Files Here !/7. Convolutional Neural Network/1. What is CNN.mp4 75.9 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 73.7 MB
~Get Your Files Here !/2. Evalution Metrics in Machine Learning/4. Machine Learning With Python.mp4 70.0 MB
~Get Your Files Here !/6. Artificial Neural Network/4. What is TensorFlow.mp4 65.6 MB
~Get Your Files Here !/3. Supervised Learning/1. Supervised Learning Overview.mp4 62.2 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 58.8 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 58.0 MB
~Get Your Files Here !/8. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp4 53.3 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/12. Bias Variance Trade off.mp4 51.0 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/7. Machine Learning Methods.mp4 47.8 MB
~Get Your Files Here !/6. Artificial Neural Network/3. Optimizers in Ai.mp4 44.4 MB
~Get Your Files Here !/6. Artificial Neural Network/2. Anatomy of Neural Network.mp4 44.3 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/3. Turing Machine and Turing Test.mp4 42.9 MB
~Get Your Files Here !/2. Evalution Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Machine Learning.mp4 40.9 MB
~Get Your Files Here !/5. Fundamentals of Machine Learning/16. Recommended System Algorithm.mp4 39.9 MB

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[ FreeCourseWeb.com ] Udemy - Deep Learning and Neural Networks - Complete BootCamp [2020].zip

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[ FreeCourseWeb.com ] Udemy - Mastering Multiple Regression with Minitab - A Deep Dive.zip

[ FreeCourseWeb.com ] Udemy - Mastering Multiple Regression with Minitab - A Deep Dive.zip 2.3 GB

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[ TutGee.com ] Udemy - Deep Learning for Natural Language Processing (DL for NLP) 2.zip

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[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python

~Get Your Files Here !/Chapter 9 Transfer Learning/005. Project in TensorFlow.mp4 156.9 MB
~Get Your Files Here !/Chapter 12 Neural Style Transfer/001. Problem Setup.mp4 118.3 MB
~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/003. FashionMNIST Example CNN.mp4 99.9 MB
~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/002. FashionMNIST Example Plan Neural Network.mp4 93.7 MB
~Get Your Files Here !/Chapter 1 Introduction to the Course/003. Why CNN.mp4 86.9 MB
~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/020. Implementation in NumPy BackwardPass 5.mp4 84.8 MB
~Get Your Files Here !/Chapter 11 Face Verification/002. Project Implementation.mp4 75.0 MB
~Get Your Files Here !/Chapter 5 Deep Neural Network Architecture/010. NonVectorized Implementations of Conv2d and Pool2d.mp4 72.6 MB
~Get Your Files Here !/Chapter 2 Image Processing/026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 68.2 MB
~Get Your Files Here !/Chapter 3 Object Detection/007. Shift Scale Rotation Invariance Exercise.mp4 61.5 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/033. Rprop and Momentum.mp4 60.8 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/037. DropOut, Early Stopping and Hyperparameters.mp4 53.6 MB
~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/019. Implementation in NumPy BackwardPass 4.mp4 52.0 MB
~Get Your Files Here !/Chapter 1 Introduction to the Course/001. Course Overview.mp4 51.2 MB
~Get Your Files Here !/Chapter 3 Object Detection/006. Shift Scale Rotation Invariance.mp4 49.3 MB
~Get Your Files Here !/Chapter 2 Image Processing/016. Image Blurring 1.mp4 47.8 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/028. Weight Initialization.mp4 47.2 MB
~Get Your Files Here !/Chapter 2 Image Processing/030. Image Processing Activity Solution.mp4 46.7 MB
~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/001. Neuron and Perceptron.mp4 46.7 MB
~Get Your Files Here !/Chapter 3 Object Detection/002. Classification Pipeline.mp4 46.0 MB

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