Mathew kariuki·4d agoCustomer Churn Analysis in Python: Find Who Leaves and What It CostsHi, I’m Mathew. Every subscription business asks the same two questions: which customers are most likely to leave, and how much money walks…A response icon1A response icon1
InData Science CollectivebyAnanya B·4d agoSurvival Analysis in Python: What Your Churn Model Isn't Telling YouA response icon1A response icon1
Nalawade Arti·Nov 3Can We Predict Which Customers Will Leave? My CRISP-DM Data Science ProjectCan We Predict When a Telecom Customer Will Leave? My First CRISP-DM Project
Mwangiboyle·Oct 31Building an End-to-End Bank Customer Churn Prediction Pipeline (94% Accuracy)Customer churn is one of the most critical metrics for financial institutions. Retaining existing customers is significantly more…
Khayyam H.·Oct 19The Churn Model That Looked Great in Testing and Missed Every Real ChurnerThe dashboard looked great. Accuracy was high, the ROC curve, which shows how well the model separates churners from nonchurners across…
Vanshhala·Oct 18Why Do Subscribers Leave? A Data Story on Streaming ChurnHow we used Python, Tableau and KNIME to find out who cancels, why they cancel, and what a streaming company can do about it.
Ayush Karle·Oct 16Beyond Prediction: How Decision Intelligence Turns AI Insights into Business ActionsA churn model can tell you who might leave. It can’t tell you who is worth calling.A response icon2A response icon2
InData Science CollectivebyAndrás Kis·Oct 14Text Features for Churn Prediction: A Beginner’s GuideHow support tickets and reviews become sentiment scores and topic labels that a plain churn model can use, and how to tell if they helped.A response icon2A response icon2
Divyansh Srivastava·Oct 13Your Churn Model Is Answering the Wrong QuestionPart 1 — A practical series on uplift modelling and causal inference for client attritionA response icon1A response icon1
