Predicting Structural Housing Features Using Logistic Regression

The project code and process is on GitHub:

A binary classification project leveraging supervised learning and logistic regression to predict structural housing attributes based on property features. This model explores the relationship between square footage and garage presence, incorporating statistical inference, feature selection, and evaluation metrics to support data-driven real estate decision-making.

Video Presentation of the Project: