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applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

c_2020_chamberlain

causalinference

《基本有用的计量经济学》（MUSE）

coding-interview-university

A complete computer science study plan to become a software engineer.

coursera

Coursera's Machine/Deep Learning assignments

deeplearning.ai

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。

drawio-desktop

Official electron build of diagrams.net

hands-on-data-analysis

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

myrepo

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

r4ds

R for data science: a book

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

stata-gtools

Faster implementation of Stata's collapse, reshape, xtile, egen, isid, and more using C plugins

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

weici

维克多英语词汇

zhaoxiliang.github.io