solegalli/feature-selection-with-feature-engine-book
Code repository for the book Feature engineering with Feature-engine
This project provides the code examples from the book "Feature Selection with Feature-engine," helping data scientists and machine learning practitioners prepare their datasets more effectively. It takes raw or partially processed datasets and helps identify which variables are most impactful, resulting in cleaner, more efficient datasets for model training.
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Use this if you are a data scientist or machine learning practitioner looking to improve the performance and reduce the complexity of your predictive models by systematically selecting the most relevant features.
Not ideal if you are a beginner with no prior experience in data science or machine learning, as the concepts covered assume some foundational knowledge.
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Apr 27, 2024
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