Pluralsight Path Data Science with Microsoft Azure 2021 E1 Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure Ravikiran Srinivasulu 2019 Split Data Set into Training and Testing Subsets Demo Cross validation vtt

Pluralsight Path Data Science with Microsoft Azure 2021
E1 Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure Ravikiran Srinivasulu 2019 Split Data Set into Training and Testing Subsets Demo Cross validation vtt

Name	Pluralsight Path. Data Science with Microsoft Azure (2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	1000
Last Seen	2025-05-26 01:54
Hash	35B2554B1CE78F11BB2C8CB0A354BB034C77271F

/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/5. Demo - Cross-validation.vtt	5.7 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/5. Demo - Cross-validation.mp4	11.5 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/6. Demo - Model Selection.vtt	3.9 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/7. Leave-one-out Cross Validation.vtt	1.8 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/6. Demo - Model Selection.mp4	9.5 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/7. Leave-one-out Cross Validation.mp4	1.9 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/1. Introduction.vtt	2.0 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/1. Introduction.mp4	2.1 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/8. Summary.vtt	1.2 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/8. Summary.mp4	1.5 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/4. Splitting Data for Model Tuning.vtt	5.5 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/2. Demo - Training and Testing on Same Data.vtt	4.8 KB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/4. Splitting Data for Model Tuning.mp4	12.0 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/2. Demo - Training and Testing on Same Data.mp4	10.9 MB
/E1. Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure (Ravikiran Srinivasulu, 2019)/7. Split a Data Set into Training and Testing Subsets/3. Demo - Split Data into Training and Test Set.vtt	4.5 KB
Showing first 15 files of 1000 total files