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automated-feature-engineering

Automated feature engineering in Python with feature tools

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

covariate-shift-adaption

An example of using a discriminator to correct for a difference in the distributions between the training and test data.

data_structure_with_python

这是我在学习《基于Python的数据结构》的时候的笔记与代码

deeplearning_practice

Practice Deep Learning with Tensorflow, Keras, and pure Numpy, including BP algo, CNN, RNN, AotoEncoder, and Adversarial AotoEncoder.

discretization-mdlpc

Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

hello-world

This is my first Github experience!

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

learn-create

mdlp-discretization

An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad

ml_gabp

graduation_design

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

open-solution-value-prediction

Open solution to the Santander Value Prediction Challenge :tropical_fish:

parse_music

解析虾米音乐，酷我音乐，网易云音乐 mv

poissonregression

A poisson generalized linear model in python

shap

A unified approach to explain the output of any machine learning model.

tpot

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