Pinned Repositories
advanced_causalinf
Advanced causal inference and research design course
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
applied-stats-2022
Materials for STA2201H, Winter semester 2022
article_audiobook
R code to Scrape and Format Academic Articles into text files readable by audio apps
awesome-computational-social-science
A list of awesome resources for Computational Social Science
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
awesome-reMarkable
A curated list of projects related to the reMarkable tablet
BDA_py_demos
Bayesian Data Analysis demos for Python
BDA_R_demos
Bayesian Data Analysis demos for R
bigdata
NJU Master Course **Big Data Mining and Analysis**
drunkrice's Repositories
drunkrice/applied-stats-2022
Materials for STA2201H, Winter semester 2022
drunkrice/awesome-computational-social-science
A list of awesome resources for Computational Social Science
drunkrice/awesome-reMarkable
A curated list of projects related to the reMarkable tablet
drunkrice/BDA_py_demos
Bayesian Data Analysis demos for Python
drunkrice/BDA_R_demos
Bayesian Data Analysis demos for R
drunkrice/causal_salad_2021
One day course on causal inference, MPI-EVA 9 September 2021
drunkrice/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
drunkrice/census
China county-level population data (census)
drunkrice/ComputationalMethodsClass
Class Materials for 47-809 Computational Methods for Economics at Carnegie Mellon
drunkrice/course-materials
drunkrice/cs-self-learning
计算机自学指南
drunkrice/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
drunkrice/demographic-methods
Materials for teaching demographic methods
drunkrice/econometrics
Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam
drunkrice/intro-gds
Course: Introduction to Geographic Data Science
drunkrice/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
drunkrice/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
drunkrice/LaTeX-Beginner-s-Guide-Second-Edition
LaTeX Beginner's Guide - Second Edition, published by Packt
drunkrice/latex-templates
Templates of all kind
drunkrice/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
drunkrice/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
drunkrice/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
drunkrice/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
drunkrice/Python3WebSpider
Source File of My Book related to WebSpider
drunkrice/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
drunkrice/r-course-material
A collection of R tutorials
drunkrice/rethinking
Statistical Rethinking course and book package
drunkrice/stat_rethinking_2022
Statistical Rethinking course winter 2022
drunkrice/TMwR
Code and content for "Tidy Modeling with R"
drunkrice/udlbook
Understanding Deep Learning - Simon J.D. Prince