It shows how to build and optimize Decision Tree Classifier of "Diabetes dataset" using Python Scikit-learn package. A decision tree is a flowchart-like tree structure where an internal node ...

A random forest (RF) is a kind of an ensemblemachine learning algorithm used for a classification and aregression. It consists of multiple decision trees that are built fromrandomly sampled data. The ...

This project was developed during my Master's program in Software Architecture and Design, specifically as part of the Adaptive Software Systems course. It's a simple prototype for building and ...