matheusfacure / causal-inference-in-python-codeLinks
Code for the Book Causal Inference in Python
☆353Updated last year
Alternatives and similar repositories for causal-inference-in-python-code
Users that are interested in causal-inference-in-python-code are comparing it to the libraries listed below
Sorting:
- Causal Inference and Discovery in Python by Packt Publishing☆961Updated 3 weeks ago
- Code and notebooks for my Medium blog posts☆130Updated last year
- DoubleML - Double Machine Learning in Python☆682Updated this week
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated last week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆158Updated last month
- A Python package for causal inference using Synthetic Controls☆193Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,070Updated 7 months ago
- ☆91Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆193Updated 3 weeks ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 10 months ago
- EconML/CausalML KDD 2021 Tutorial☆165Updated 2 years ago
- AutoML for causal inference.☆231Updated 11 months ago
- ☆33Updated last year
- Forecasting: principles and practice in python☆199Updated 2 years ago
- A resource list for causality in statistics, data science and physics☆266Updated last month
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆393Updated 3 years ago
- Synthetic difference in differences for Python☆85Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated this week
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 4 years ago
- Modern Time Series Forecasting with Python, published by Packt☆541Updated 3 weeks ago
- A Python package for causal inference in quasi-experimental settings☆1,072Updated this week
- ☆28Updated 2 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated 3 weeks ago
- Power analysis and AB test analysis library☆47Updated last month
- This project introduces Causal AI and how it can drive business value.☆53Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆138Updated 8 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆991Updated this week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 6 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆785Updated last week