feature-selection topic

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. I...

sramirez

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

rorysroes

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

xingyu-fu

Easy to use Python library of customized functions for cleaning and analyzing data.

akanz1

Data Science Feature Engineering and Selection Tutorials

rasgointelligence

ML hyperparameters tuning and features selection, using evolutionary algorithms.

rodrigo-arenas

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's ea...

jaswinder9051998

Awesome Domain Adaptation Python Toolbox

adapt-python

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

yzkang

A Machine Learning Approach of Emotional Model

danyalimran93