Pinned Repositories
100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
adversarial_gmm
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
almost-anything-2vec
Curated list of 2vec-type embedding models
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
BDinEcon
Causal-Inference-Book-zh
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
COVID-19_US_County-level_Summaries
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
mingguis's Repositories
mingguis/100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
mingguis/adversarial_gmm
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
mingguis/almost-anything-2vec
Curated list of 2vec-type embedding models
mingguis/approachingalmost
Approaching (Almost) Any Machine Learning Problem
mingguis/awesome-causality-algorithms
An index of algorithms for learning causality with data
mingguis/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
mingguis/BDinEcon
mingguis/Causal-Inference-Book-zh
mingguis/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
mingguis/COVID-19_US_County-level_Summaries
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
mingguis/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
mingguis/data-science-econ
mingguis/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
mingguis/EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
mingguis/fall-2020
mingguis/intro-ci-shortcourse
ITAM Workshop on Causal Inference
mingguis/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
mingguis/Learn-Vim
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for.
mingguis/machine-learning-course
:speech_balloon: Machine Learning Course with Python
mingguis/MBAcourse
Material from the Big Data course at Chicago Booth
mingguis/medium-scraper
Simple scraper for posts on medium.com
mingguis/mingguis.github.io
mingguis/musical-niffler
mingguis/OutlierConf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
mingguis/pover-t-tests
mingguis/r4ds
R for data science
mingguis/R_for_MLPS_cheatsheets
For CMU Machine Learning for Problem Solving (L. Akoglu) class
mingguis/starter-academic
mingguis/studyFiles
mingguis/Template-for-Overleaf
A LaTeX Template for Economics Papers