Waze App User Churn Analysis
Successfully analyzed user churn rate using waze app users dataset and constructed Machine learning model for predicting user churn (whether a user will churn or not)
About Project
Waze, a Google subsidiary, aims to create an ML model to anticipate user attrition among its app users. This model will utilize data collected from Waze app users.
After importing data, Exploratory data analysis was performed, further two-sample hypothesis test was conducted, Two ML models Random Forest and XGBoost models were constructed. Model scores were improved byb additional model tunning. Finally User churn was predicted via XGBoost ML Model as it appeared as champion model.
Waqas Ahmad – Data Analyst