feature_engine and feature-engineering-tutorials
Feature-engine is a production-ready library providing automated feature engineering and selection transformers, while the rasgointelligence repository is an educational resource offering tutorials on those same concepts—making them complements where one teaches the theory and practices that the other implements.
About feature_engine
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
This tool helps data scientists and machine learning engineers prepare their raw datasets for building better predictive models. It takes your raw data, with its missing values, messy categories, and complex numeric features, and systematically transforms it. The output is a cleaned, structured dataset optimized for machine learning algorithms, making your models more accurate and robust.
About feature-engineering-tutorials
rasgointelligence/feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
These tutorials provide practical recipes and code to help data scientists prepare their raw data for machine learning models. You'll learn how to clean up messy datasets and create new, insightful features from your existing information. The result is better-prepared data that leads to more accurate and explainable machine learning predictions.
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