Machine Learning for Housing Prices and Airbnb Classification

This presentation explores the challenges of applying machine learning (ML) techniques to housing and Airbnb data, aiming to predict property prices and types using diverse datasets. It delves into the methodology, including data preprocessing, regression, and classification models, evaluated with metrics such as R², accuracy, and precision. Concluding with insights, strengths in room type predictions, and an acknowledgment of limitations, the study sets a foundation for further exploration...