UCB-MIDS / w241Links
This is the course repository for w241 and 290 -- Experiments and Causality.
☆17Updated 4 years ago
Alternatives and similar repositories for w241
Users that are interested in w241 are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Notes and Python scripts for A/B or Split Testing☆144Updated 3 years ago
- Introduction to scikit-learn: Machine Learning in Python☆20Updated 3 years ago
- Repo for PyData 2018 tuorial☆12Updated 7 years ago
- Matt Brems' Missing Data Workshop☆83Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- ☆24Updated 5 years ago
- The course work for the applied machine learning course I am teaching at BYU☆137Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Uber provided Data Science take home☆92Updated 9 years ago
- ☆27Updated 2 years ago
- ☆26Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆107Updated 8 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆24Updated 3 years ago
- A collection of resources for learning and research.☆97Updated 7 months ago
- ☆120Updated 3 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Personal repository of data science demonstrations and references☆78Updated 3 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- ☆62Updated 6 years ago
- ☆32Updated 3 years ago
- Code for the Book Causal Inference in Python☆357Updated last year
- Quick Implementation in python☆53Updated 6 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 6 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆266Updated 8 years ago
- Statistical Rethinking course in pymc3☆144Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 7 months ago
- Repo for ML for Public Policy Lab course at CMU☆119Updated 3 weeks ago