👉 This sample project involves building a simple machine learning model to predict house prices based on various features such as number of bedrooms, square footage, location, and age. The dataset includes labeled house prices, allowing the model to learn patterns and make predictions on new, unseen data. Using techniques like feature engineering and model selection, the project aims to optimize accuracy and interpretability, ultimately providing insights into factors influencing house prices.
