🏡 Airbnb Data Analysis

📌 Overview

This project analyzes Airbnb listings to explore profitability trends, neighborhood performance, and investment opportunities using Python.

📊 Key Insights

• Identified top-performing neighborhoods based on estimated revenue.
• Used correlation analysis to determine key revenue factors.
• Predicted room type categories with data-driven methods.
• Proposed actionable strategies for hosts and investors.

🛠️ Technologies Used

• Python (Pandas, NumPy)
• Data Visualization (Matplotlib, Seaborn)
• Machine Learning (Scikit-Learn)
• Jupyter Notebook

🚀 How to Run

Clone the repository:

git clone https://github.com/yourusername/Airbnb-Data-Analysis.git