Telecom Churn Case Study Kaggle
Telecom Churn Case Study with Naive Bayes. Comments (0) Run. 39.8 s. history Version 2 of 2. Data Visualization. Exploratory Data Analysis. Model Comparison. Model Explainability.
Telecom Churn Prediction Group Case Study Problem Statement Business Problem Overview In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate.
Telecom Churn Case Study Build ML models to predict whether high value customer will churn or not,in near future. Table of Contents Problem statement and Goal Overview of Data Analysis Approach Summary of Analysis Acknowledgements General Information Build ML models to predict whether high value customer will churn or not,in near future.