| 4. Algorithms/6. Best Practices and Applications.mp4 | 246.59 MB |
| 2. Defining Machine Learning/1. Defining Machine Learning (Part 1).mp4 | 137.83 MB |
| 2. Defining Machine Learning/2. Defining Machine Learning (Part 2).mp4 | 131.21 MB |
| 3. Core Concepts/1. Core Concepts (Part 1).mp4 | 122.19 MB |
| 3. Core Concepts/2. Core Concepts (Part 2).mp4 | 112.88 MB |
| 4. Algorithms/5. Regression.mp4 | 77.01 MB |
| 4. Algorithms/2. K-Means Clustering.mp4 | 76.61 MB |
| 4. Algorithms/4. Naive Bayes.mp4 | 66.06 MB |
| 4. Algorithms/1. Decision Trees.mp4 | 64.43 MB |
| 4. Algorithms/3. K-Nearest Neighbor.mp4 | 63.6 MB |
| 1. Introduction/1. Introduction.mp4 | 30.19 MB |
| 5. Conclusion/1. Conclusion.mp4 | 13.98 MB |
| 4. Algorithms/6. Best Practices and Applications.vtt | 19.22 KB |
| 3. Core Concepts/2. Core Concepts (Part 2).vtt | 9.36 KB |
| 3. Core Concepts/1. Core Concepts (Part 1).vtt | 9 KB |
| 2. Defining Machine Learning/1. Defining Machine Learning (Part 1).vtt | 8.91 KB |
| 2. Defining Machine Learning/2. Defining Machine Learning (Part 2).vtt | 8.73 KB |
| 4. Algorithms/2. K-Means Clustering.vtt | 5.14 KB |
| 4. Algorithms/5. Regression.vtt | 5.08 KB |
| 4. Algorithms/1. Decision Trees.vtt | 4.94 KB |
| 4. Algorithms/4. Naive Bayes.vtt | 4.94 KB |
| 4. Algorithms/3. K-Nearest Neighbor.vtt | 4.92 KB |
| 1. Introduction/1. Introduction.vtt | 1.99 KB |
| 5. Conclusion/1. Conclusion.vtt | 868 Bytes |
| udemycoursedownloader.com.url | 132 Bytes |
| Udemy Course downloader.txt | 94 Bytes |