Free MLOps course from DataTalks.Club

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

Repo for Yale Applied Empirical Methods PHD Course

Code repository for the online course Hyperparameter Optimization for Machine Learning

Learning Fundamentals of Machine Learning all over along with Stanford's Andrew Ng

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Materials for Econ 5253 Data Science for Economists course at U of Oklahoma

This repository consolidates my teaching material for "Causal Machine Learning".

机器学习、深度学习的学习路径及知识总结

Fast Lane to Learning R!

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

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Lecture notes for EC 607

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

My personal playground for LeetCode questions.

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

*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.

Causal-inference oriented doctoral econometrics course at UO

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin