FreeCoursesOnline Me Coursera Applied Machine Learning in Python 003 Module Evaluation 025 Model Selection Optimizing Classifiers for Different Evaluation Metrics srt

FreeCoursesOnline Me Coursera Applied Machine Learning in Python
003 Module Evaluation 025 Model Selection Optimizing Classifiers for Different Evaluation Metrics srt

Name	[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	923.9 MB
Total Files	73
Last Seen	2025-08-28 23:49
Hash	7EA2631378B04A93B752CF8F1686698ABB5CEA50

/003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt	18.6 KB
/003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4	36.2 MB
/003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.srt	16.2 KB
/003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4	21.8 MB
/003.Module 3 Evaluation/023. Multi-Class Evaluation.srt	15.6 KB
/003.Module 3 Evaluation/021. Classifier Decision Functions.srt	9.3 KB
/003.Module 3 Evaluation/024. Regression Evaluation.srt	8.0 KB
/003.Module 3 Evaluation/019. Model Evaluation & Selection.srt	30.8 KB
/003.Module 3 Evaluation/023. Multi-Class Evaluation.mp4	20.7 MB
/003.Module 3 Evaluation/021. Classifier Decision Functions.mp4	13.3 MB
/003.Module 3 Evaluation/024. Regression Evaluation.mp4	17.8 MB
/003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4	48.3 MB
/003.Module 3 Evaluation/022. Precision-recall and ROC curves.srt	7.7 KB
/002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.srt	15.9 KB
/003.Module 3 Evaluation/022. Precision-recall and ROC curves.mp4	9.7 MB
Showing first 15 files of 73 total files