A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
MIT License
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
[UNMAINTAINED] Automated machine learning for analytics & production
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based f...
Prepping tables for machine learning
State-of-the art Automated Machine Learning python library for Tabular Data
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Automating the process of Data Preprocessing for Data Science
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
A constantly updated python machine learning cheatsheet
Time series forecasting with scikit-learn models
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
SciKIt-learn Pipeline in PAndas
This library allows you to quickly train machine learning classifiers by automatically splitting ...