Top 93 feature-engineering open source projects

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Fast k-Nearest Neighbors Classifier for Large Datasets

A schema-aware Scala library for data transformation

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Package for Heart Rate Variability analysis in Python

Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features gen…

🔥 Fast, simple sklearn-like feature processing for Go

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Implementation of feature engineering from Feature engineering strategies for credit card fraud

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Paraphrase question identification using Feature Fusion Network (FFN).

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Automatic machine learning for tabular data. ⚡🔥⚡

ZCA whitening in python

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Exemplary, annotated machine learning pipeline for any tabular data problem.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

A simplified version of featuretools for Spark

An open source python library for automated feature engineering based on Genetic Programming

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Automated Time Series Forecasting

Material of the Kaggle Berlin meetup group!

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

feng - feature engineering for machine-learning champions

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Flexible time series feature extraction & processing