Assignment 2 - Decision Trees and Random Forests

In this assignment, you'll continue building on the previous assignment to predict the price of a house using information like its location, area, no. of rooms, etc. We'll follow a step-by-step process:

1. Download and prepare the dataset for training
2. Train, evaluate, and interpret a decision tree
3. Train, evaluate, and interpret a random forest
4. Tune hyperparameters to improve the model
5. Make predictions and save the model