Real Estate Price Prediction and Analysis Project

Overview

This project aims to support a real estate company expanding from California into the Slovakian market by integrating data from both regions, analyzing property trends, and building a predictive machine learning model to estimate property prices in Slovakia. The analysis and insights are presented through interactive Tableau dashboards to facilitate data-driven decision-making for company executives.

Project Structure

1. Data Integration: Combined California and Slovakia datasets into a unified format.

   • California data includes broad socio-economic factors such as median income, population, and property prices.
   • Slovak dataset includes detailed property-specific information like type, number of rooms, price, and condition.

2. Data Cleaning and Transformation: Cleaned the data, handled missing values, and transformed the features to align both datasets for better comparability.

   • Created a new column, MedInc, to represent the median income in Slovakia using proxy information based on property prices and conditions.
   • Normalized property prices between California and Slovakia.

3. Feature Engineering:

   • Created new features, such as AveBedrms and AveRooms, to match the California dataset’s schema.
   • Combined datasets with columns like MedInc, HouseAge, AveRooms, AveBedrms, AveOccup, Price, and Country.

4. Machine Learning Model: Developed a model to predict property prices in new regions.

   • Models tried: Linear Regression, Decision Tree Regressor, and Gradient Boosting Regressor.
   • Best Model: Gradient Boosting Regressor, selected based on MAE, RMSE, and R2 scores.
   • Conducted Hyperparameter Tuning using GridSearchCV to improve model performance.

5. SQL Database Setup:

   • Created an SQL database using SQLAlchemy to store the integrated dataset.
   • Designed a normalized schema with separate tables for Property, Location, Price, and Feature to minimize redundancy and optimize performance.
   • Verified table creation and structure with database visualization tools.

6. Data Visualization Using Tableau:

   • Created an interactive Tableau dashboard to visualize property trends and provide actionable insights.
   • Key Metrics Visualized:
     • Property Price Distribution: Comparison between California and Slovakian property prices.
     • Property Features: Breakdown of property types, sizes, and amenities.
     • Geographical Trends: Visualization of price differences across neighborhoods.
     • Investment Opportunities: Highlighted areas for profitable investments based on median income and pricing.

Getting Started

1. Clone the Repository:

   git clone https://github.com/yourusername/real-estate-price-prediction.git
   cd real-estate-