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

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

Name	[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.4 GB
Total Files	575
Hash	EC385DD048F6807C9C5779F6209AF266BA3E74A3

/19. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html	3.6 KB
/10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html	3.0 KB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.mp4	8.6 MB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.srt	7.7 KB
/19. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4	14.3 MB
/19. Evaluating Classification Models Performance/1. False Positives & False Negatives.srt	11.6 KB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4	4.0 MB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.srt	3.3 KB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4	12.1 MB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.srt	9.5 KB
/19. Evaluating Classification Models Performance/4. CAP Curve.mp4	19.6 MB
/19. Evaluating Classification Models Performance/4. CAP Curve.srt	16.6 KB
/10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4	20.2 MB
/10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.srt	14.8 KB
/10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4	9.3 MB
Showing first 15 files of 575 total files