Predicting Customer Spending in E-Commerce

This presentation offers a thorough exploration of predictive analysis, beginning with the foundational purpose and key determinants of analytical processes, leveraging a well-defined dataset. It proceeds through meticulous data preparation, covering methods like handling missing data and feature engineering. Attendees will dive into modeling techniques, witnessing insights from linear regression and random forest applications, and understand performance evaluation metrics. The presentation...