Project information

• Category: Customer Churning
• Project URL: Notebook
• Skills:Python, Pyspark, Machine Learning

Predicting churn rates is a challenging and common problem that data scientists and analysts regularly encounter in any customer-facing business. It minimizes customer defection by detecting on time which customers are likely to cancel their subscription.

This project is about the prediction process using Spark as a tool to engineer the relevant features and then build machine learning models for the prediction. An end-to-end solution report of a real-world problem using Sparkify dataset provided by Udacity