Implementation and evaluation of decision tree and random forest prediction models.

This project consists of two parts: Simulation and basic inference exercises (Exponential distribution, the Central Limit Theorem, hypothesis testing).

The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.