Udemy Machine Learning Hands On Python In Data Science 10 Evaluating Regression Models Performance Conclusion of Part Regression html

Udemy Machine Learning Hands On Python In Data Science
10 Evaluating Regression Models Performance Conclusion of Part Regression 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

/10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html	3.0 KB
/19. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html	3.8 KB
/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
/10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4	9.3 MB
/10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp4	25.4 MB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.vtt	6.9 KB
/10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.vtt	12.3 KB
/19. Evaluating Classification Models Performance/2. Confusion Matrix.mp4	8.6 MB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.vtt	3.0 KB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.vtt	8.5 KB
/19. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4	4.0 MB
/19. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4	12.1 MB
/19. Evaluating Classification Models Performance/1. False Positives & False Negatives.vtt	10.4 KB
Showing first 15 files of 569 total files