alteryx / predict-customer-churn
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
☆410Updated 7 months ago
Alternatives and similar repositories for predict-customer-churn:
Users that are interested in predict-customer-churn are comparing it to the libraries listed below
- ☆137Updated 6 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated last year
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 6 months ago
- A curated list of awesome customer analytics content☆95Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆268Updated 5 years ago
- Project work for Udacity's AB Testing Course☆82Updated 7 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆280Updated 2 months ago
- Hands-On Data Science for Marketing, published by Packt☆237Updated 2 years ago
- ☆76Updated 6 years ago
- Code from the book Fighting Churn With Data☆280Updated this week
- testing scikit-learn Isolation Forest☆76Updated 6 years ago
- Added repo for PyData LA 2018 tutorial☆89Updated 6 years ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 7 months ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆73Updated 4 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆343Updated last year
- Automated feature engineering in Python with Featuretools☆518Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆133Updated 11 months ago
- Data science blog☆33Updated 6 years ago
- Data-Driven Marketing Attribution☆31Updated 4 years ago
- Python implementation of the population stability index (PSI)☆134Updated last year
- Analysis for Customer Segmentation☆68Updated 4 years ago
- This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information val…☆48Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆368Updated 2 years ago
- RFM modeling in Python☆14Updated 4 years ago