DavidHason / Causal_AnalysisLinks
Causal Analysis of Customer Churn using DeepLearning
☆15Updated 2 years ago
Alternatives and similar repositories for Causal_Analysis
Users that are interested in Causal_Analysis are comparing it to the libraries listed below
Sorting:
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆37Updated 3 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 3 months ago
- ☆103Updated 4 years ago
- ☆27Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆49Updated 3 years ago
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- References to the Medium articles☆86Updated 2 years ago
- Code for blog posts.☆19Updated last year
- Propensity score matching in Python 3☆26Updated last year
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- ☆16Updated 11 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
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- ☆88Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆36Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 11 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆26Updated 3 years ago
- Quick Implementation in python☆52Updated 5 years ago
- ☆10Updated 3 years ago
- My second place solution in the M5 Accuracy competition☆69Updated 4 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆47Updated 9 months ago
- ☆9Updated 4 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 3 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)☆15Updated 3 years ago
- 🏟☆27Updated 4 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 4 years ago