Machine Learning Essentials (2023)| applied AI roots
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| 5 | +1 Applied Roots - Diploma in ML & AI (with UoH).rar.022 | 1 862 |
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| 7 | +9 Applied Roots - Diploma in ML & AI (with UoH).rar.001 | 1 720 |
| 8 | +6 16. Decision Trees Implementation.zip | 1 623 |
| 9 | 15. Decision Trees.zip | 1 543 |
| 10 | 14. PROJECT Spam Classifier.zip | 1 535 |
| 11 | 13. Multinomial Naive Bayes.zip | 1 522 |
| 12 | 12. Naive Bayes Algorithm.zip | 1 483 |
| 13 | 11. Project - Dominant Color Extraction.zip | 1 479 |
| 14 | 10. K-Means.zip | 1 464 |
| 15 | 9. PROJECT - Face Recognition.zip | 1 500 |
| 16 | 6. Dimensionality Reduction Feature Selection.zip | 1 479 |
| 17 | 8. K-Nearest Neigbours.zip | 1 467 |
| 18 | 7. Principal Component Analysis (PCA).zip | 1 427 |
| 19 | 5. Logistic Regression.zip | 1 422 |
| 20 | 4. Linear Regression - Multiple Features.zip | 1 420 |
