Shypd.aiThe largest open index of AI toolsawesome-feature-engineering is an Open Source & Models tool that provides a curated list of resources for feature engineering techniques in machine learning. It helps users quickly find relevant resources to improve their skills.
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awesome-feature-engineering is a comprehensive, curated list of resources dedicated to various feature engineering techniques essential for machine learning. This open-source repository covers a wide array of data types, including numeric, textual, image, categorical, time series, and geospatial data. It provides links to relevant libraries, articles, and tutorials for methods such as scaling, ranking, quantization, Box-Cox transformation, feature interactions, clustering, t-SNE, PCA, Bag of Words, TFIDF, word embeddings, one-hot encoding, count encoding, label encoding, mean encoding, hashing, rolling window features, and lag features. Maintained by Andrei Khobnia, this resource is invaluable for data scientists and machine learning engineers looking to enhance their feature engineering skills and find practical implementations.
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