ronikobrosly / scipy_2022_causal_inference_tutorial
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
☆33Updated 2 years ago
Alternatives and similar repositories for scipy_2022_causal_inference_tutorial:
Users that are interested in scipy_2022_causal_inference_tutorial are comparing it to the libraries listed below
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- This project introduces Causal AI and how it can drive business value.☆46Updated 7 months ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆13Updated 4 years ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Exploratory repository to study predictive survival analysis models☆34Updated last year
- A Causal AI package for causal graphs.☆55Updated 2 weeks ago
- PyData London 2022 Tutorial☆66Updated 2 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆137Updated 8 months ago
- Unstructured Code with interesting analysis☆37Updated 6 months ago
- This course is an overview of applied causal inference.☆45Updated 6 months ago
- Repository for a workshop on Bayesian Decision Analysis☆69Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 4 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated last week
- Repository containing the code of the projects presented in my personal website.☆42Updated this week
- Causal Inference in Python☆42Updated 3 months ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated last year
- Presentation materials for PyMC Statespace☆18Updated 7 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated 2 years ago
- Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards☆14Updated this week
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 3 months ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Website: Data Umbrella & PyMC open source sessions☆26Updated 10 months ago
- Materials for conference talks and workshops☆31Updated last year
- ☆15Updated 3 years ago
- Code for blog posts.☆19Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year