About this document
Customer Churn Prediction Insights by Rohit N is a document available to read on EtoBox.
This document provides a summary of a customer churn prediction project. It discusses: 1. The machine learning lifecycle stages the project has progressed through including data sourcing, exploratory data analysis, and model training. 2. The key findings from exploratory data analysis on the dataset including data cleaning steps, distributions of features like subscription length and monthly fees, and the imbalance in the target variable. 3. Remaining challenges like determining patterns in monthly fee
- Author
- Rohit N
- Language
- EN