A general-purpose framework for solving problems with machine learning applied to predicting customer churn
☆428Jun 17, 2024Updated 2 years 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆31Aug 13, 2020Updated 6 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆503Aug 7, 2023Updated 3 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆64Aug 30, 2023Updated 3 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Jul 1, 2020Updated 6 years ago
- Predict whether internet traffic is malicious given historical router traffic data☆35Aug 13, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- MachineLearningSamples-ChurnPrediction☆36Jun 28, 2019Updated 7 years ago
- Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Cus…☆13Feb 4, 2020Updated 6 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆29Aug 13, 2020Updated 6 years ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆514Mar 31, 2025Updated last year
- ☆160May 9, 2021Updated 5 years ago
- An open source python library for automated feature engineering☆7,674Jul 27, 2026Updated last month
- 零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结☆68Sep 5, 2023Updated 2 years ago
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆236Jul 28, 2023Updated 3 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Jun 23, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆50Apr 5, 2018Updated 8 years ago
- Run FeatureTools to automate Feature Engineering distributionally on Spark.☆11Oct 11, 2018Updated 7 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Sep 28, 2017Updated 8 years ago
- general functions for your data .pipe()-lines.☆17Nov 8, 2023Updated 2 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆273Sep 30, 2022Updated 3 years ago
- Automated feature engineering in Python with Featuretools☆517Feb 8, 2019Updated 7 years ago
- Lifetime value in Python☆1,476Jun 28, 2024Updated 2 years ago
- Predicting Employee Churn with Supervised Machine Learning☆63Dec 19, 2020Updated 5 years ago
- Code from the book Fighting Churn With Data☆314Aug 2, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆82Jun 25, 2020Updated 6 years ago
- 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…☆169Dec 4, 2022Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆174Jan 13, 2026Updated 7 months ago
- WTTE-RNN a framework for churn and time to event prediction☆773Aug 7, 2020Updated 6 years ago
- A collection of repeated use utility functions for notebook demos.☆15Nov 2, 2023Updated 2 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆65Feb 28, 2023Updated 3 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Aug 8, 2019Updated 7 years ago
- Compute set of important operations for HCTSA code☆28Apr 11, 2020Updated 6 years ago
- Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out wi…☆28Sep 5, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- TSFresh primitives for featuretools☆37Aug 3, 2022Updated 4 years ago
- ☆182Jun 11, 2019Updated 7 years ago
- The Databionic swarm is an unsupervised machine learning method for cluster analysis and the visualization of structures of high-dimensio…☆12May 15, 2024Updated 2 years ago
- Intermediate R training material delivered in a 2 day format☆33Mar 14, 2020Updated 6 years ago
- My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …☆14Dec 28, 2017Updated 8 years ago
- python library for automated dataset normalization☆117Jul 20, 2023Updated 3 years ago
- ☆15Jul 16, 2014Updated 12 years ago