A place to keep the things I've stumbled upon

iterative Causal Forest (iCF)

Software for the Tree-Based Scan Statistic

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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.

数据和计算科学知识库，分享机器学习系统、数据管理、数据科学原创内容。

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

*Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

吴恩达老师的机器学习课程个人笔记

This is a repository of code for the paper "Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data m…

small, safe, and great commonmark (optionally gfm, mdx) compliant markdown parser

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

Lookup R full function definitions, including compiled code, S3 and S4 methods.

100 numpy exercises (with solutions)

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Notes from Introduction to Statistical Learning