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adult-income-analysis

Exploratory data analysis for the Adult or Census Income dataset from UCI Machine Learning Repository : https://archive.ics.uci.edu/ml/datasets/adult

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

automated-feature-engineering

Automated feature engineering in Python with Featuretools

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-science-complete-tutorial

For extensive instructor led learning

data-science-notes

数据科学的笔记以及资料搜集

data_mining_models

Basic data mining model, including feature importance display

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

feature-engineering

Tips for Advanced Feature Engineering

feature-engineering-and-feature-selection

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

featuretools

An open source python library for automated feature engineering

graph-bert

Source code of Graph-Bert

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lihang-code

《统计学习方法》的代码实现

loan-defaulter-prediction-machine-learning

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

machine_learning_beginner

机器学习初学者公众号作品

ml_pipelines

Using Kafka-Python to illustrate a ML production pipeline

mlmachine

mlmachine accelerates machine learning experimentation

notes

pipelines

demo of scikit-learn pipelines

predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

shap

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