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Challenge: Revenue Prediction

Explore how to improve a customer revenue prediction model by applying data cleaning, outlier removal, feature engineering, and linear regression. Understand how to split datasets, train models, and evaluate performance using RMSE to optimize prediction accuracy.

Improve customer revenue prediction model

In this chapter, we’ve been working on an online retail transaction dataset. We have cleaned and preprocessed the initial dataset, extracted a couple of features for our linear regression model, and ...