This project analyzes real estate data from Egypt to uncover key market trends, property price patterns, and investment insights. Using machine learning and data visualization, the goal is to predict property prices and understand the main factors influencing them (like location, area, number of rooms, and property type).
# Egypt-Real-Estate-Prediction
This project analyzes real estate data from Egypt to uncover key market trends, property price patterns, and investment insights. Using machine learning and data visualization, the goal is to predict property prices and understand the main factors influencing them (like location, area, number of rooms, and property type).
Objectives
Clean and preprocess real estate datasets (handling missing values, outliers, encoding, etc.)
Perform exploratory data analysis (EDA) to identify patterns and correlations
Build and evaluate machine learning models to predict property prices
Visualize insights through interactive dashboards and plots
Provide data-driven recommendations for real estate buyers and investors