matheusfacure / causal-inference-in-python-codeLinks
Code for the Book Causal Inference in Python
☆359Updated 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☆980Updated last month
- Code and notebooks for my Medium blog posts☆131Updated last year
- DoubleML - Double Machine Learning in Python☆702Updated this week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆161Updated 3 weeks ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆112Updated 2 weeks ago
- A curated list of causal inference libraries, resources, and applications.☆1,085Updated 2 weeks ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- ☆92Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆660Updated last year
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 4 years ago
- Python-centered read-along of Forecasting: Principles and Practice☆511Updated 3 months ago
- Forecasting: principles and practice in python☆204Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆195Updated 2 months ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆395Updated 3 years ago
- AutoML for causal inference.☆233Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,089Updated this week
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆54Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆26Updated last week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,021Updated this week
- A Marketing Mix Modelling project for an E-Commerce company☆14Updated 3 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆217Updated last month
- Modern Time Series Forecasting with Python, published by Packt☆545Updated last month
- Power analysis and AB test analysis library☆47Updated 3 weeks ago
- ☆139Updated last week
- Interpretable Machine Learning with Python, published by Packt☆477Updated last month
- Synthetic difference in differences for Python☆87Updated last year
- ☆28Updated 2 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago