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Assignment 2 - Decision Trees and Random Forests

Machine Learning with Python: Zero to GBMs

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