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Feature Selection in Machine Learning: 20+ feature selection methods to build simpler, faster, and more reliable ML models
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Learn over 20 feature selection methods using Python, scikit-learn, and Feature-engine. Apply filter, wrapper, embedded, and recursive techniques to select predictive features and build efficient machine learning models
- Master over 20 feature selection techniques using practical Python examples
- Apply filter, wrapper, embedded, and recursive feature selection methods
- Remove redundant variables to build faster, simpler, and more interpretable ML models