alteryx / predict-customer-churn
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
☆406Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for predict-customer-churn
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆498Updated last year
- Notes and Python scripts for A/B or Split Testing☆139Updated 2 years ago
- A curated list of awesome customer analytics content☆95Updated 6 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆167Updated 3 months ago
- ☆137Updated 5 years ago
- Project work for Udacity's AB Testing Course☆81Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- A repository of machine learning codes written for re-usability☆144Updated 4 years ago
- ☆76Updated 5 years ago
- Getting start with PySpark and MLlib☆295Updated 6 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆275Updated 2 weeks ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆135Updated last year
- Notes on Apache Spark (pyspark)☆295Updated 5 years ago
- ☆75Updated last year
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆265Updated 5 years ago
- Code from the book Fighting Churn With Data☆271Updated 7 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆341Updated last year
- This repository contains the code and explanation for market mix modelling technique in economics☆52Updated 6 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆130Updated 6 years ago
- Learning statistics with Python☆51Updated 3 years ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆583Updated 6 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 5 months ago
- Hands-On Data Science for Marketing, published by Packt☆235Updated last year
- ☆155Updated 4 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated 9 months ago