Udemy - The Complete Machine Learning Course with Python [Desire Course]

Files:

• 1. What Does the Course Cover.mp4 (54.4 MB)
• 1. What Does the Course Cover.vtt (3.0 KB)
• 2. How to Succeed in This Course.html (2.2 KB)
• 3. Project Files and Resources.html (1.7 KB)

• 1. Clustering.mp4 (125.7 MB)
• 1. Clustering.vtt (18.7 KB)
• 2. k_Means Clustering.mp4 (57.7 MB)
• 2. k_Means Clustering.vtt (10.0 KB)

• 1. Estimating Simple Function with Neural Networks.mp4 (143.9 MB)
• 1. Estimating Simple Function with Neural Networks.vtt (24.4 KB)
• 2. Neural Network Architecture.mp4 (22.4 MB)
• 2. Neural Network Architecture.vtt (7.2 KB)
• 3. Motivational Example - Project MNIST.mp4 (145.0 MB)
• 3. Motivational Example - Project MNIST.vtt (23.5 KB)
• 4. Binary Classification Problem.mp4 (72.1 MB)
• 4. Binary Classification Problem.vtt (11.5 KB)
• 5. Natural Language Processing - Binary Classification.mp4 (76.0 MB)
• 5. Natural Language Processing - Binary Classification.vtt (11.7 KB)

• 1. Introduction to Neural Networks.mp4 (13.8 MB)
• 1. Introduction to Neural Networks.vtt (2.5 KB)
• 10. Gradient Based Optimization.mp4 (55.0 MB)
• 10. Gradient Based Optimization.vtt (12.6 KB)
• 11. Getting Started with Neural Network and Deep Learning Libraries.mp4 (18.7 MB)
• 11. Getting Started with Neural Network and Deep Learning Libraries.vtt (5.1 KB)
• 12. Categories of Machine Learning.mp4 (37.5 MB)
• 12. Categories of Machine Learning.vtt (11.2 KB)
• 13. Over and Under Fitting.mp4 (70.1 MB)
• 13. Over and Under Fitting.vtt (16.7 KB)
• 14. Machine Learning Workflow.mp4 (27.4 MB)
• 14. Machine Learning Workflow.vtt (5.3 KB)
• 2. Differences between Classical Programming and Machine Learning.mp4 (20.9 MB)
• 2. Differences between Classical Programming and Machine Learning.vtt (4.9 KB)
• 3. Learning Representations.mp4 (77.2 MB)
• 3. Learning Representations.vtt (11.5 KB)
• 4. What is Deep Learning.mp4 (155.6 MB)
• 4. What is Deep Learning.vtt (23.1 KB)
• 5. Learning Neural Networks.mp4 (40.6 MB)
• 5. Learning Neural Networks.vtt (11.4 KB)
• 6. Why Now.mp4 (9.1 MB)
• 6. Why Now.vtt (3.0 KB)
• 7. Building Block Introduction.mp4 (14.2 MB)
• 7. Building Block Introduction.vtt (5.1 KB)
• 8. Tensors.mp4 (16.9 MB)
• 8. Tensors.vtt (4.3 KB)
• 9. Tensor Operations.mp4 (88.8 MB)
• 9. Tensor Operations.vtt (18.9 KB)

• 1. Outline.mp4 (63.7 MB)
• 1. Outline.vtt (4.1 KB)
• 10. Training Your CNN 1.mp4 (124.9 MB)
• 10. Training Your CNN 1.vtt (15.2 KB)
• 11. Training Your CNN 2.mp4 (128.5 MB)
• 11. Training Your CNN 2.vtt (22.4 KB)
• 12. Loading Previously Trained Model.mp4 (11.2 MB)
• 12. Loading Previously Trained Model.vtt (1.6 KB)
• 13. Model Performance Comparison.mp4 (79.8 MB)
• 13. Model Performance Comparison.vtt (10.7 KB)
• 14. Data Augmentation.mp4 (28.5 MB)
• 14. Data Augmentation.vtt (3.3 KB)
• 15. Transfer Learning.mp4 (97.0 MB)
• 15. Transfer Learning.vtt (12.1 KB)
• 16. Feature Extraction.mp4 (111.1 MB)
• 16. Feature Extraction.vtt (12.9 KB)
• 17. State of the Art Tools.mp4 (35.4 MB)
• 17. State of the Art Tools.vtt (6.0 KB)
• 2. Neural Network Revision.mp4 (43.8 MB)
• 2. Neural Network Revision.vtt (9.2 KB)
• 3. Motivational Example.mp4 (66.2 MB)
• 3. Motivational Example.vtt (8.7 KB)
• 4. Visualizing CNN.mp4 (141.9 MB)
• 4. Visualizing CNN.vtt (15.4 KB)
• 5. Understanding CNN.mp4 (30.0 MB)
• 5. Understanding CNN.vtt (6.7 KB)
• 6. Layer - Input.mp4 (29.1 MB)
• 6. Layer - Input.vtt (6.2 KB)
• 7. Layer - Filter.mp4 (84.4 MB)
• 7. Layer - Filter.vtt (18.5 KB)
• 8. Activation Function.mp4 (32.3 MB)
• 8. Activation Function.vtt (6.9 KB)
• 9. Pooling, Flatten, Dense.mp4 (88.1 MB)
• 9. Pooling, Flatten, Dense.vtt (12.5 KB)

• 1. Installing Applications and Creating Environment.mp4 (38.4 MB)
• 1. Installing Applications and Creating Environment.vtt (6.0 KB)
• 2. Hello World.mp4 (51.2 MB)
• 2. Hello World.vtt (12.5 KB)
• 3. Iris Project 1 Working with Error Messages.mp4 (89.8 MB)
• 3. Iris Project 1 Working with Error Messages.vtt (14.5 KB)
• 4. Iris Project 2 Reading CSV Data into Memory.mp4 (64.6 MB)
• 4. Iris Project 2 Reading CSV Data into Memory.vtt (10.0 KB)
• 5. Iris Project 3 Loading data from Seaborn.mp4 (55.9 MB)
• 5. Iris Project 3 Loading data from Seaborn.vtt (9.9 KB)
• 6. Iris Project 4 Visualization.mp4 (93.5 MB)
• 6. Iris Project 4 Visualization.vtt (11.5 KB)

• 1. Scikit-Learn.mp4 (48.5 MB)
• 1. Scikit-Learn.vtt (10.0 KB)
• 10. Multiple Regression 2.mp4 (91.2 MB)
• 10. Multiple Regression 2.vtt (13.8 KB)
• 11. Regularized Regression.mp4 (44.3 MB)
• 11. Regularized Regression.vtt (7.8 KB)
• 12. Polynomial Regression.mp4 (110.8 MB)
• 12. Polynomial Regression.vtt (19.7 KB)
• 13. Dealing with Non-linear Relationships.mp4 (62.7 MB)
• 13. Dealing with Non-linear Relationships.vtt (10.3 KB)
• 14. Feature Importance.mp4 (36.3 MB)
• 14. Feature Importance.vtt (5.4 KB)
• 15. Data Preprocessing.mp4 (135.5 MB)
• 15. Data Preprocessing.vtt (25.5 KB)

Code:

• http://0d.kebhana.mx:443/announce
• udp://tw.opentracker.ga:36920/announce
• udp://temp1.opentracker.gq:6969/announce
• udp://temp2.opentracker.gq:6969/announce
• udp://tracker.torrent.eu.org:451/announce
• http://torrent.nwps.ws:80/announce
• udp://explodie.org:6969/announce
• https://opentracker.xyz:443/announce
• https://t.quic.ws:443/announce
• udp://tracker.leechers-paradise.org:6969/announce
• udp://tracker.coppersurfer.tk:6969/announce
• udp://tracker.opentrackr.org:1337/announce
• udp://tracker.zer0day.to:1337/announce
• udp://eddie4.nl:6969/announce
• udp://open.demonii.si:1337/announce