A SciKit-Learn style feature selector using best subsets and stepwise regression.
MIT License
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Code to compute permutation and drop-column importances in Python scikit-learn models
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
使用sklearn做特征工程
Lazy Predict help build a lot of basic models without much code and helps understand which models...
Hyper-parameter optimization for sklearn
A constantly updated python machine learning cheatsheet
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and...
Data science tools for exploration, visualization, and model iteration.
This library allows you to quickly train machine learning classifiers by automatically splitting ...
All my submissions for Kaggle contests that I have been, and going to be participating.
A Python package for fitting Quinlan's Cubist regression model
Python library for portfolio optimization built on top of scikit-learn
TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin
Utility class to perform recursive feature elimination with cross validation and permutation impo...