Udemy Machine Learning Data Science and Deep Learning with Python Dealing with Real World Data Imputation Techniques for Missing Data srt

Udemy Machine Learning Data Science and Deep Learning with Python
Dealing with Real World Data Imputation Techniques for Missing Data srt

Name	Udemy - Machine Learning, Data Science and Deep Learning with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	8.5 GB
Total Files	215
Hash	B3112B034BF524D66D848CAFB1C718CEFB55B26C

/7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.srt	14.7 KB
/7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4	51.4 MB
/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.srt	24.4 KB
/7. Dealing with Real-World Data/5. Normalizing numerical data.srt	7.8 KB
/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4	135.7 MB
/7. Dealing with Real-World Data/1. BiasVariance Tradeoff.srt	14.7 KB
/7. Dealing with Real-World Data/3. Data Cleaning and Normalization.srt	17.5 KB
/7. Dealing with Real-World Data/5. Normalizing numerical data.mp4	40.1 MB
/7. Dealing with Real-World Data/6. [Activity] Detecting outliers.srt	11.7 KB
/7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4	69.5 MB
/7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4	82.6 MB
/7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp4	38.1 MB
/7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.srt	12.1 KB
/7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4	43.7 MB
/7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.srt	25.1 KB
Showing first 15 files of 215 total files