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

Creation Time	June 15, 2024, 8:38 a.m.
Last Access Time	Feb. 5, 2025, 7:14 a.m.
File Size	2.8 GB
Keywords	05 Python Programming Deep Udemy Machine 2021 Learning
Total Requests	145
Total Files	118
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

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)

File List

Download Torrent

Related Resources

Copyright Infringement