
Predicting Power Users in AI Data Workspaces
Last Updated about 12 hours agoAbout
This is a comprehensive end-to-end data science pipeline that predicts power users in an AI data workspace by synthesizing event data, engineering behavioral features, training and validating a RandomForest classifier, and identifying data leakage—ultimately generating visual insights and actionable product recommendations for improving user activation, retention, and engagement.