Welcome to Boston, Massachusetts in the 1970s! Imagine you're working for a real estate development company. Your company wants to value any residential project before they start. You are tasked with building a model that can provide a price estimate based on a home's characteristics like:
- The number of rooms
- The distance to employment centers
- How rich or poor the area is
- How many students there are per teacher in local schools, etc.
- Analyse and explore the Boston house price data
- Split your data for training and testing
- Run a Multivariable Regression
- Evaluate how your model's coefficients and residuals
- Use data transformation to improve your model performance
- Use your model to estimate a property price