Feature Selection Approaches | Filter & Wrapper & Embedded in Arabic

Slides: https://github.com/kershrita/Data-For-Data/blob/main/Machine%20learning/Feature%20Selection.pdf Notebook: https://www.kaggle.com/code/kershrita/feature-selection-filter-wrapper-embedded For more advanced feature selection techniques, please read this notebook. Comprehensive Guide on Feature Selection: https://www.kaggle.com/code/prashant111/comprehensive-guide-on-feature-selection Outline: 00:00 Slides: Introduction 04:04 Slides: Why Feature Selection 05:26 Slides: Feature Types & Relevance 08:08 Slides: Feature Selection Approaches 09:27 Slides: Filter Methods 15:05 Slides: Wrapper Methods 19:26 Slides: Embedded Methods 24:40 Lab: Importing 28:15 Lab: Filter Methods 33:00 Lab: Wrapper Methods 35:00 Lab: Embedded Methods Follow Me! Kaggle: https://www.kaggle.com/kershrita GitHub: https://github.com/kershrita References: - https://oercollective.caul.edu.au/foundations-of-biomedical-science/chapter/9-1-types-of-data/ - https://www.featureform.com/post/feature-engineering-guide - https://h2o.ai/wiki/feature-selection/ - https://www.javatpoint.com/feature-selection-techniques-in-machine-learning - https://medium.com/@sagar.rawale3/feature-selection-methods-in-machine-learning-eaeef12019cc