Probabilistic Scoring System – a probabilistic & incremental extension to Scoring Systems
MIT License
Lazy Predict help build a lot of basic models without much code and helps understand which models...
Data science tools for exploration, visualization, and model iteration.
Utility class to perform recursive feature elimination with cross validation and permutation impo...
All my submissions for Kaggle contests that I have been, and going to be participating.
TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin
scikit-learn cross validators for iterative stratification of multilabel data
Machine Learning Project, build a Binary Classification Function in Python.
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Oblique Tree classifier based on SVM nodes
Automating the process of Data Preprocessing for Data Science
Hyper-parameter optimization for sklearn
A SciKit-Learn style feature selector using best subsets and stepwise regression.
A constantly updated python machine learning cheatsheet
This library allows you to quickly train machine learning classifiers by automatically splitting ...
A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi