david-boules/Egypt-House-Price-Predictor

An application that leverages the power of Machine Learning to predict the price of a house in Egypt given various house features # Egypt House Price Predictor ### About the Project In this project, we built a Machine Learning model to predict house prices in Egypt. ### Approach - Conducted rigorous data cleaning procedures, including handling missing values and data inconsistencies - Underwent exploratory data analysis to identify features that have an effect on a property's price and examined correlations between features - Performed feature engineering to correctly format the data for a machine learning model - Created multiple machine learning models and used evaluation metrics such as RMSE and R^2 - Utilized hyperparameter tuning to improve model accuracy ### Link to original dataset: kaggle.com _________ ### Collaborators: David Boules, Abdelrahman Nawara, Wassim Bousbia