pikapikapoo's starred repositories
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
causalinference_crashcourse
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
handson-ml3
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.
Efficient-Python-for-Data-Scientists
Writing clean and optimized Python code
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
Shift-Share
Shift-Share Instrument Mixtape Track taught by Peter Hull
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
pandas-videos
Jupyter notebook and datasets from the pandas video series
optimagic
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
FixedEffectModel
Fixedeffectmodel: panel data modeling in Python
Instrumental-Variables
Instrumental Variables Mixtape Track taught by Peter Hull
paris_workshop_2022
Paris Quantitative Economics Workshop 2022
da-coding-rstats
Coding course to complete Data Analysis in R
da-coding-python
This is a coding course in Python to accompany the Data Analysis material
Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
da_case_studies
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Causalinference
Causal Inference in Python
BLP-Python
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.