Udemy Machine Learning Hands On Python In Data Science 19 Evaluating Classification Models Performance Conclusion of Part Classification html

Udemy Machine Learning Hands On Python In Data Science
19 Evaluating Classification Models Performance Conclusion of Part Classification html

Name	Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.8 GB
Total Files	569
Hash	2E8942A2FC4034003E8653282B7F9D6F8E722206

/19. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html	3.8 KB
/10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html	3.0 KB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.vtt	6.9 KB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.mp4	8.6 MB
/19. Evaluating Classification Models Performance/1. False Positives & False Negatives.vtt	10.4 KB
/19. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4	14.3 MB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.vtt	3.0 KB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4	4.0 MB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.vtt	8.5 KB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4	12.1 MB
/19. Evaluating Classification Models Performance/4. CAP Curve.vtt	14.9 KB
/19. Evaluating Classification Models Performance/4. CAP Curve.mp4	19.6 MB
/10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.vtt	13.3 KB
/10. Evaluating Regression Models Performance/1. R-Squared Intuition.vtt	6.6 KB
/10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4	20.2 MB
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