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

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[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python 1. Introduction
  • 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)
10. Unsupervised Learning Clustering
  • 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)
11. Deep Learning
  • 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)
12. Appendix A1 Foundations of Deep Learning
  • 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)
13. Computer Vision and Convolutional Neural Network (CNN)
  • 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)
2. Getting Started with Anaconda
  • 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)
3. Regression
  • 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)

Description

The Complete Machine Learning Course with Python

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

For More Courses Visit: https://desirecourse.net



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

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Download torrent
6.8 GB
seeders:7
leechers:17
Udemy - The Complete Machine Learning Course with Python [Desire Course]

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