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Create Time:2024-05-25 05:01:13
File Size:553.44 MB
File Count:70
File Hash:dd767a23d92100eaf9f60ce697a88119ae396976
| 03_module-3/01_module-3-evaluation/01_model-evaluation-selection.mp4 | 32.52 MB |
| 02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 | 31.04 MB |
| 02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 | 29.99 MB |
| 02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.mp4 | 28.15 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.mp4 | 27.74 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.mp4 | 27.55 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.mp4 | 24.36 MB |
| 03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.mp4 | 20.54 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.mp4 | 19.60 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/05_an-example-machine-learning-problem.mp4 | 19.56 MB |
| 02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 | 19.45 MB |
| 02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.mp4 | 18.76 MB |
| 02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.mp4 | 18.24 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.mp4 | 17.91 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.mp4 | 17.86 MB |
| 03_module-3/01_module-3-evaluation/05_multi-class-evaluation.mp4 | 17.12 MB |
| 02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.mp4 | 16.84 MB |
| 03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.mp4 | 16.58 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_examining-the-data.mp4 | 16.04 MB |
| 02_module-2/01_module-2-supervised-machine-learning/02_overfitting-and-underfitting.mp4 | 15.94 MB |
| 02_module-2/01_module-2-supervised-machine-learning/11_cross-validation.mp4 | 13.23 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/02_naive-bayes-classifiers.mp4 | 12.59 MB |
| 02_module-2/01_module-2-supervised-machine-learning/10_kernalized-support-vector-machines.mp4 | 12.45 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/06_deep-learning-optional.mp4 | 11.02 MB |
| 02_module-2/01_module-2-supervised-machine-learning/09_multi-class-classification.mp4 | 10.16 MB |
| 03_module-3/01_module-3-evaluation/03_classifier-decision-functions.mp4 | 10.14 MB |
| 03_module-3/01_module-3-evaluation/06_regression-evaluation.mp4 | 9.88 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/04_gradient-boosted-decision-trees.mp4 | 8.72 MB |
| 03_module-3/01_module-3-evaluation/04_precision-recall-and-roc-curves.mp4 | 8.29 MB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_python-tools-for-machine-learning.mp4 | 7.89 MB |
| 02_module-2/01_module-2-supervised-machine-learning/03_supervised-learning-datasets.mp4 | 7.45 MB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/01_introduction.mp4 | 4.67 MB |
| 03_module-3/01_module-3-evaluation/07_practical-guide-to-controlled-experiments-on-the-web.pdf | 504 KB |
| 02_module-2/01_module-2-supervised-machine-learning/13_a-few-useful-things-to-know-about-machine-learning_cacm12.pdf | 160 KB |
| 03_module-3/01_module-3-evaluation/01_model-evaluation-selection.en.srt | 30 KB |
| 02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.en.srt | 29 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.en.srt | 28 KB |
| 02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.en.srt | 28 KB |
| 02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.en.srt | 27 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.en.srt | 26 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.en.srt | 19 KB |
| 03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.en.srt | 18 KB |
| 02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.en.srt | 17 KB |
| 02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.en.srt | 17 KB |
| 02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.en.srt | 17 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.en.srt | 17 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.en.srt | 17 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.en.srt | 16 KB |
| 03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.en.srt | 16 KB |
| 02_module-2/01_module-2-supervised-machine-learning/02_overfitting-and-underfitting.en.srt | 16 KB |
| 02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.en.srt | 15 KB |
| 03_module-3/01_module-3-evaluation/05_multi-class-evaluation.en.srt | 15 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/05_an-example-machine-learning-problem.en.srt | 15 KB |
| 02_module-2/01_module-2-supervised-machine-learning/11_cross-validation.en.srt | 13 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_examining-the-data.en.srt | 12 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/02_naive-bayes-classifiers.en.srt | 11 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/06_deep-learning-optional.en.srt | 10 KB |
| 02_module-2/01_module-2-supervised-machine-learning/10_kernalized-support-vector-machines.en.srt | 10 KB |
| 03_module-3/01_module-3-evaluation/03_classifier-decision-functions.en.srt | 9 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/04_gradient-boosted-decision-trees.en.srt | 8 KB |
| 02_module-2/01_module-2-supervised-machine-learning/09_multi-class-classification.en.srt | 8 KB |
| 03_module-3/01_module-3-evaluation/06_regression-evaluation.en.srt | 8 KB |
| 03_module-3/01_module-3-evaluation/04_precision-recall-and-roc-curves.en.srt | 7 KB |
| 02_module-2/01_module-2-supervised-machine-learning/03_supervised-learning-datasets.en.srt | 6 KB |
| 01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_python-tools-for-machine-learning.en.srt | 6 KB |
| 04_module-4/01_module-4-supervised-machine-learning-part-2/01_introduction.en.srt | 4 KB |
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