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:
- Download and prepare the dataset for training
- Train, evaluate, and interpret a decision tree
- Train, evaluate, and interpret a random forest
- Tune hyperparameters to improve the model
- Make predictions and save the model
aakashns/python-random-forests-assignment
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