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Airbnb Hotel Booking Analysis & Price Prediction πŸ“Š

Author: Anushka Deka | AICTE Internship 2025

🎯 Project Objective

Explore Airbnb booking data, uncover price influencers, and build a predictive model.

πŸ“Š Notebooks

  1. Result 1 – EDA
  2. Result 2 – Geographical Analysis
  3. Result 3 – Price Prediction Model

🧠 Insights

  • Entire homes/apartments β†’ highest prices
  • Central locations β†’ premium rates
  • Linear Regression model β†’ RΒ² β‰ˆ 0.78

🧩 Tech Stack

Python, Pandas, Seaborn, Matplotlib, Scikit-learn, Google Colab

πŸš€ Live Demos

About

This repository contains the complete analysis of Airbnb listings, including exploratory data analysis (EDA), geographical insights, and a predictive model for listing prices. The goal is to understand price drivers, visualize location-based patterns, and build a simple linear regression model to predict listing prices.

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