Case Study: Selecting a Supervised Learning Model

Predicting house prices in a metropolitan city

A real estate company wants to predict house prices in a metropolitan city based on features such as the number of bedrooms, square footage, age of the house, location (by zip code), and proximity to schools and transport. The goal is to provide accurate price ...