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🏘️ Delhi House Price Prediction

Python Real Estate

📖 Overview

Regression model specifically for predicting residential property prices in Delhi, India. Analyzes location, size, amenities, and neighborhood characteristics for accurate price estimation.

🎯 Features

  • Delhi-specific price prediction
  • Locality-based analysis
  • Property type comparison
  • Market trend insights

🛠️ Tech Stack

  • Scikit-learn, XGBoost
  • Pandas, NumPy
  • Matplotlib, Seaborn

🚀 Quick Start

git clone https://github.com/adityavdn/Delhi-House-Price-Prediction.git
pip install -r requirements.txt
jupyter notebook

📊 Key Features

  • Location (Delhi NCR areas)
  • BHK Configuration
  • Square Footage
  • Amenities, Age

👤 Author

Aditya Vardhan | MSc Data Science

📄 License

MIT License


📌 Keywords

Real Estate Delhi Housing Price Prediction Regression Indian Market

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