Riyadh Real Estate Price Prediction Dashboard

Developed a predictive analytics solution for estimating residential property prices in Riyadh using machine learning techniques. The project involved data preparation, feature engineering, model development, and performance evaluation to identify the key factors influencing property values.

An interactive Tableau dashboard was created to visualize market trends, regional comparisons, and prediction results, enabling stakeholders to explore insights and make informed investment decisions.

Technologies:

Python • Tableau • Machine Learning • Scikit-Learn • Pandas • Data Analysis