CourserHub com Coursera Machine Learning Algorithms in the Real World Specialization data machine learning 04 bad data 02 statistical nuance 02 skewed distributions mp4

CourserHub com Coursera Machine Learning Algorithms in the Real World Specialization
Data machine learning 04 bad data 02 statistical nuance 02 skewed distributions mp4

Name	[CourserHub.com] Coursera - Machine Learning Algorithms in the Real World Specialization	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	465
Last Seen	2025-04-26 00:14
Hash	62758BAFD7A44255E719F93D3B54EC3D14138EB2

/data-machine-learning/04_bad-data/02_statistical-nuance/02_skewed-distributions.mp4	32.7 MB
/data-machine-learning/04_bad-data/02_statistical-nuance/02_skewed-distributions.en.srt	13.7 KB
/data-machine-learning/04_bad-data/02_statistical-nuance/02_skewed-distributions.en.txt	8.7 KB
/data-machine-learning/04_bad-data/02_statistical-nuance/01_outliers.mp4	22.3 MB
/data-machine-learning/04_bad-data/02_statistical-nuance/01_outliers.en.srt	11.6 KB
/data-machine-learning/04_bad-data/02_statistical-nuance/01_outliers.en.txt	6.2 KB
/data-machine-learning/04_bad-data/01_accept-limitations/03_bias-in-data-sources.mp4	13.8 MB
/data-machine-learning/04_bad-data/01_accept-limitations/01_imbalanced-data.mp4	22.6 MB
/data-machine-learning/04_bad-data/03_consequences-of-bad-data/01_badness-multipliers.mp4	13.9 MB
/data-machine-learning/04_bad-data/03_consequences-of-bad-data/02_live-data-danger.mp4	34.6 MB
/data-machine-learning/04_bad-data/01_accept-limitations/01_imbalanced-data.en.srt	14.2 KB
/data-machine-learning/04_bad-data/01_accept-limitations/01_imbalanced-data.en.txt	7.6 KB
/data-machine-learning/04_bad-data/01_accept-limitations/04_bias-and-variance-tradeoff.mp4	25.4 MB
/data-machine-learning/04_bad-data/01_accept-limitations/03_bias-in-data-sources.en.srt	6.1 KB
/data-machine-learning/04_bad-data/01_accept-limitations/03_bias-in-data-sources.en.txt	3.3 KB
Showing first 15 files of 465 total files

CourserHub com Coursera Machine Learning Algorithms in the Real World Specialization