Awesome Open Source
Awesome Open Source

Awesome Feature Engineering for Machine Learning

Awesome

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Maintainers - Andrei Khobnia

This page is licensed under Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported License

Please feel free to create pull requests.

Contents

Numeric Data

Scaling

Ranking

Quantization and Binning

Box-Cox Transformation

Yeo-Johnson Transformation

Feature Interactions

Clustering Features

t-SNE Features

PCA Features

Textual Data

Bag of Words

Phrase Detection Features

TFIDF

Word Embeddings

Subword Embeddings

Pattern Features

Lexicon Features

PoS Features

Image Data

Computer Vision Algorithm Features

Image Statistics Features

OCR Features

Deep Learning Features

Categorical Data

One Hot Encoding

Count Encoding

Label Encoding

Dummy Encoding

Mean Encoding

Hashing

Time Series Data

Rolling Window Features

Lag Features

Geospatial Data

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