10 Machine Learning
In this chapter, you learn how to implement machine learning (ML) in Oracle Analytics Server to predict outcomes and generate actionable insights. You explore how to prepare data, train predictive and classification models, evaluate their accuracy, and apply them to new data using intuitive data flows. By working on real-world examples, such as bike rental forecasting and employee attrition prediction, you gain practical experience with algorithms like linear regression, Naïve Bayes, and logistic regression. The chapter also shows how to visualize predictions and refine models for better performance, helping you understand how machine learning can move analytics beyond reporting toward forecasting and smarter decision-making. ...
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