[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)

Creation Time	June 9, 2024, 10:33 a.m.
Last Access Time	Oct. 21, 2024, 9:11 p.m.
File Size	2.8 GB
Keywords	05 Python Programming Deep Udemy Machine 2021 Learning
Total Requests	20
Total Files	118
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11. Projects/2. Project - 2.mp4 169.3 MB
6. Machine Learning/15. Choosing the right algorithm and model.mp4 148.5 MB
5. Numpy Library/8. Using Numpy in Linear Algebra.mp4 112.2 MB
11. Projects/1. Project - 1.mp4 101.5 MB
6. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 88.0 MB
10. Transfer Learning/1. What is Transfer Learning.mp4 85.3 MB
6. Machine Learning/16. Training and testing the model.mp4 84.0 MB
11. Projects/3. Project - 3.mp4 82.3 MB
7. Artificial Neural Network/3. Creating a Simple ANN.mp4 79.5 MB
5. Numpy Library/5. Numpy Functions.mp4 78.5 MB
5. Numpy Library/7. Numpy Exercises.mp4 74.2 MB
8. Convolutional Neural Network (CNN)/1. What is CNN.mp4 72.4 MB
11. Projects/4. Project - 4.mp4 72.3 MB
6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 70.3 MB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp4 66.3 MB
7. Artificial Neural Network/8. What is TensorFlow.mp4 62.6 MB
7. Artificial Neural Network/4. Tensor Operations.mp4 62.1 MB
4. Object Oriented Programming/5. Overriding and Overloading.mp4 58.8 MB
6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 56.1 MB
6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 55.4 MB
9. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp4 50.9 MB
3. Fundamentals of Python/4. Loops.mp4 49.1 MB
5. Numpy Library/3. Array and features.mp4 47.9 MB
3. Fundamentals of Python/10. Exercise Solution.mp4 47.7 MB
6. Machine Learning/7. Machine Learning Methods.mp4 45.5 MB
7. Artificial Neural Network/7. Optimizers.mp4 42.3 MB
7. Artificial Neural Network/2. Anatomy of Neural Network.mp4 42.3 MB
5. Numpy Library/9. NumExpr Guide.mp4 42.2 MB
3. Fundamentals of Python/1. Data Types in Python.mp4 41.1 MB
6. Machine Learning/3. Turing Machine and Turing Test.mp4 40.9 MB
3. Fundamentals of Python/6. Data Type Operators and Methods.mp4 40.5 MB
5. Numpy Library/6. Indexing and Slicing.mp4 40.4 MB
2. Python Setup/1. Installing Anaconda Distribution and Python.mp4 37.6 MB
6. Machine Learning/5. Learning representations from data.mp4 34.9 MB
3. Fundamentals of Python/3. Conditionals.mp4 34.6 MB
4. Object Oriented Programming/2. Constructor.mp4 33.9 MB
4. Object Oriented Programming/4. Inheritance.mp4 32.6 MB
6. Machine Learning/6. Workflow of Machine Learning.mp4 31.7 MB
6. Machine Learning/8. Supervised Machine Learning Methods - 1.mp4 31.0 MB
7. Artificial Neural Network/5. Tensor Operations 2.mp4 29.8 MB
3. Fundamentals of Python/2. Operators in Python.mp4 29.6 MB
5. Numpy Library/1. What is Numpy.mp4 26.7 MB
3. Fundamentals of Python/8. Functions in Python.mp4 26.1 MB
6. Machine Learning/14. Data pre-processing.mp4 26.0 MB
2. Python Setup/2. Overview of Jupyter Notebook and Google Colab.mp4 25.4 MB
6. Machine Learning/17. Evaluation.mp4 24.4 MB
6. Machine Learning/2. History of Machine Learning.mp4 23.9 MB
4. Object Oriented Programming/3. Methods.mp4 23.7 MB
7. Artificial Neural Network/6. Keras API.mp4 23.3 MB
7. Artificial Neural Network/1. What is Artificial Neural Network (ANN).mp4 23.0 MB
3. Fundamentals of Python/7. Modules in Python.mp4 21.1 MB
6. Machine Learning/4. What is Deep Learning.mp4 20.5 MB
6. Machine Learning/13. Gathering data.mp4 17.6 MB
5. Numpy Library/4. Array’s Operators.mp4 17.6 MB
4. Object Oriented Programming/1. Logic of OOP.mp4 16.4 MB
6. Machine Learning/1. AI, Machine Learning and Deep Learning.mp4 16.2 MB
1. Intro to Deep Learning with Python/1. Introduction to Deep Learning with Python.mp4 14.5 MB
5. Numpy Library/2. Why Numpy.mp4 13.7 MB
3. Fundamentals of Python/9. Exercise Analyse.mp4 5.7 MB
5. Numpy Library/8. Using Numpy in Linear Algebra.srt 30.6 KB
6. Machine Learning/12. Unsupervised Machine Learning Methods.srt 26.6 KB
11. Projects/2. Project - 2.srt 20.8 KB
7. Artificial Neural Network/8. What is TensorFlow.srt 20.1 KB
11. Projects/1. Project - 1.srt 20.0 KB
5. Numpy Library/5. Numpy Functions.srt 19.0 KB
6. Machine Learning/11. Supervised Machine Learning Methods - 4.srt 18.8 KB
10. Transfer Learning/1. What is Transfer Learning.srt 18.7 KB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.srt 17.4 KB
8. Convolutional Neural Network (CNN)/1. What is CNN.srt 17.2 KB
6. Machine Learning/7. Machine Learning Methods.srt 16.1 KB
6. Machine Learning/10. Supervised Machine Learning Methods - 3.srt 15.8 KB
6. Machine Learning/9. Supervised Machine Learning Methods - 2.srt 15.2 KB
11. Projects/3. Project - 3.srt 14.9 KB
5. Numpy Library/7. Numpy Exercises.srt 14.7 KB
9. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.srt 14.6 KB
11. Projects/4. Project - 4.srt 14.6 KB
7. Artificial Neural Network/3. Creating a Simple ANN.srt 14.5 KB
3. Fundamentals of Python/1. Data Types in Python.srt 13.5 KB
6. Machine Learning/5. Learning representations from data.srt 13.4 KB
6. Machine Learning/3. Turing Machine and Turing Test.srt 13.3 KB
7. Artificial Neural Network/7. Optimizers.srt 11.9 KB
3. Fundamentals of Python/4. Loops.srt 11.9 KB
5. Numpy Library/3. Array and features.srt 11.4 KB
7. Artificial Neural Network/4. Tensor Operations.srt 10.9 KB
6. Machine Learning/6. Workflow of Machine Learning.srt 10.7 KB
3. Fundamentals of Python/2. Operators in Python.srt 10.6 KB
6. Machine Learning/8. Supervised Machine Learning Methods - 1.srt 10.4 KB
7. Artificial Neural Network/2. Anatomy of Neural Network.srt 10.4 KB
3. Fundamentals of Python/3. Conditionals.srt 9.6 KB
4. Object Oriented Programming/5. Overriding and Overloading.srt 9.3 KB
3. Fundamentals of Python/6. Data Type Operators and Methods.srt 8.9 KB
6. Machine Learning/15. Choosing the right algorithm and model.srt 8.9 KB
3. Fundamentals of Python/8. Functions in Python.srt 8.9 KB
5. Numpy Library/6. Indexing and Slicing.srt 8.6 KB
7. Artificial Neural Network/1. What is Artificial Neural Network (ANN).srt 8.1 KB
7. Artificial Neural Network/6. Keras API.srt 8.0 KB
7. Artificial Neural Network/5. Tensor Operations 2.srt 7.9 KB
6. Machine Learning/2. History of Machine Learning.srt 7.7 KB
5. Numpy Library/9. NumExpr Guide.srt 7.7 KB
6. Machine Learning/17. Evaluation.srt 7.4 KB
5. Numpy Library/1. What is Numpy.srt 7.3 KB
6. Machine Learning/4. What is Deep Learning.srt 7.1 KB
4. Object Oriented Programming/2. Constructor.srt 6.8 KB
4. Object Oriented Programming/4. Inheritance.srt 6.7 KB
3. Fundamentals of Python/10. Exercise Solution.srt 6.3 KB
6. Machine Learning/14. Data pre-processing.srt 6.3 KB
6. Machine Learning/16. Training and testing the model.srt 6.2 KB
2. Python Setup/2. Overview of Jupyter Notebook and Google Colab.srt 5.7 KB
6. Machine Learning/13. Gathering data.srt 5.6 KB
1. Intro to Deep Learning with Python/1. Introduction to Deep Learning with Python.srt 5.6 KB
6. Machine Learning/1. AI, Machine Learning and Deep Learning.srt 5.5 KB
3. Fundamentals of Python/7. Modules in Python.srt 5.3 KB
4. Object Oriented Programming/1. Logic of OOP.srt 5.1 KB
5. Numpy Library/2. Why Numpy.srt 4.9 KB
2. Python Setup/1. Installing Anaconda Distribution and Python.srt 4.6 KB
5. Numpy Library/4. Array’s Operators.srt 4.2 KB
4. Object Oriented Programming/3. Methods.srt 4.1 KB
3. Fundamentals of Python/9. Exercise Analyse.srt 2.2 KB

[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)

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