A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

📖 [译] 面向机器学习的特征工程

[UNMAINTAINED] Automated machine learning for analytics & production

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Feature exploration for supervised learning

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Code for Kaggle Data Science Competitions

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

Features selector based on the self selected-algorithm, loss function and validation method

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Open solution to the Home Credit Default Risk challenge 🏡

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

DeltaPy - Tabular Data Augmentation (by @firmai)

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Automated feature engineering for geospatial data

汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征

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

Code for Kaggle and Offline Competitions

A recommender system for discovering GitHub repos, built with Apache Spark

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

A practical feature engineering handbook

Stock for Deep Learning and Machine Learning

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.