A decision tree performs multi- stage hierarchical decision making. It classifies data by creating a hierarchy of rules about the features. The tree is made up of leaves which contain both a feature and a decision rule. The goal is to generate a hierarchy of decision rules that correctly classify the data.

Exploring the caret package for modelling with the customer churn data

Covid 19 analysis using the SIR model and covid19.analytics package

This project looks at the UCLA admissions data. We also look at class imbalance problems and explore ways to handle it.