Overview

The supervised machine learning paper of the programme. Covers linear and logistic regression, random forests and neural networks in R, applied to predict business events, with a strong emphasis on model validation and interpreting outcomes for stakeholders.

Topics covered

• Linear and logistic regression
• Random forests and tree-based methods
• Neural networks for prediction
• Model validation and interpretation

Key assignments

• [Assignment 1, fill in with what you actually built]
• [Assignment 2, tool used, outcome, your contribution]

Takeaways

[What stuck with you. What you'd apply elsewhere. Fill in once you've wrapped the paper.]