Project Idea: Housing Price Prediction

[mrivasperez]

Dataset: https://www.kaggle.com/datasets/yasserh/housing-prices-dataset

Predicting housing prices is a classic application of linear regression. We can make it more specific by focusing on a particular city and using features relevant to that location. For example, we could predict apartment prices in a city based on features like size, number of bedrooms, distance to the city center, and proximity to public transportation.

Concepts

• We'll use linear regression to model the relationship between the features and the housing price.
• This project provides an opportunity to think about location-specific features that might influence housing prices (e.g., proximity to parks, schools, or specific neighborhoods).
• This project naturally extends linear regression to multiple input features, which is a valuable step beyond the single-feature height prediction example.