raz1470 / causal_aiLinks
This project introduces Causal AI and how it can drive business value.
☆48Updated 10 months ago
Alternatives and similar repositories for causal_ai
Users that are interested in causal_ai are comparing it to the libraries listed below
Sorting:
- Unstructured Code with interesting analysis☆37Updated 8 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 4 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- ☆22Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- ☆12Updated 4 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 2 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 6 months ago
- Code and notebooks for my Medium blog posts☆127Updated last year
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- ☆27Updated 2 years ago
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆99Updated 2 months ago
- ☆115Updated last year
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 5 months ago
- Code for blog posts.☆19Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 2 years ago
- ☆32Updated last year
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆36Updated last year
- Fast implementations of common forecasting routines☆40Updated last week
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- The Orange Book of Machine Learning☆45Updated 4 months ago
- Repository containing the code of the projects presented in my personal website.☆42Updated this week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 11 months ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Validation for forecasts☆18Updated 2 years ago
- A package to compute a marketing mix model.☆70Updated last year
- ☆115Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆101Updated 3 months ago