Daya-Jin / Rental Prediction

open source for wechat-official-account (ID: PyDataLab)

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

H2O.ai Machine Learning Interpretability Resources

Materials for GWU DNSC 6279 and DNSC 6290.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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

The "Python Machine Learning (1st edition)" book code repository and info resource

Introduction to Data Science

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

A book about machine learning, statistics, and data mining for heliophysics

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

用户贷款风险预测

Materials for workshops on text mining, machine learning, and data visualization

Machine learning fundamentals lesson in interactive notebooks

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.