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Detailed EDA with various machine learning models applied on Airbnb New York dataset.

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Airbnb New York Data Analysis

This project is a part of the CS-210 [Introduction to Data Science] course given in FALL 2019-2020 at Sabancı University.

Project Status: [Completed]

Project Objective

The purpose of this project is to analyze Airbnb New York's data to create an effective price prediction data model.Thanks to the model created, both users and homeowners or those who plan to become homeowners will have an independent third parameter to evaluate their investments.

Methods Used

  • Descriptive Statistics
  • Data Visualization (Majorly Geo-Spatial)
  • Predictive Modeling
  • Machine Learning

Technologies

  • Python
  • pandas,Folium,GeoPandas,scikit-learn,Matplotlib,Numpy,Seaborn
  • Colab

You can also view the project via this link: https://colab.research.google.com/drive/1NPc_Spot-M4SNWQlD0LHiCBnhHUXqnw9

Contact

Onur Arda Bodur - Senior Computer Science and Engineering Student in Sabancı University

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Detailed EDA with various machine learning models applied on Airbnb New York dataset.

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