FreeCoursesOnline Me Coursera Applied Machine Learning in Python |
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003 Module Evaluation 025 Model Selection Optimizing Classifiers for Different Evaluation Metrics mp4 |
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[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python |
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923.9 MB |
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Total Files |
73 |
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Last Seen |
2025-08-28 23:49 |
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Hash |
7EA2631378B04A93B752CF8F1686698ABB5CEA50 |
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36.2 MB |
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18.6 KB |
/003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 |
21.8 MB |
/003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.srt |
16.2 KB |
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20.7 MB |
/003.Module 3 Evaluation/021. Classifier Decision Functions.mp4 |
13.3 MB |
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17.8 MB |
/003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 |
48.3 MB |
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15.6 KB |
/003.Module 3 Evaluation/021. Classifier Decision Functions.srt |
9.3 KB |
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8.0 KB |
/003.Module 3 Evaluation/019. Model Evaluation & Selection.srt |
30.8 KB |
/003.Module 3 Evaluation/022. Precision-recall and ROC curves.mp4 |
9.7 MB |
/002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 |
23.8 MB |
/003.Module 3 Evaluation/022. Precision-recall and ROC curves.srt |
7.7 KB |
Showing first 15 files of 73 total files |
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