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Final Capstone project at Amsterdam University College. Analyzed house prices using hedonic regression and Neural Network.

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hedonic regression neural-network vif

code-capstone's Introduction

Capstone Project Amsterdam University College

Determinants of Amsterdam House Prices

This project was completed as part of the final thesis at Amsterdam University College. This project's deliverables included a final thesis written as a partial fulfillment of the degree of Bachelor of Arts.

-- Project Status: [Completed]

Summary

Data was obtained from NVM (Dutch Real Estate Agent Organization). Through Hedonic regression, it is found that some house features have a negative linear relation with predicted house price, and apartments in Amsterdam costs more than the other house types in Amsterdam. A neural network regression model was tested against the baseline linear regression model and obtained 10% more accuracy.

Methods Used

  • Inferential Statistics
  • Machine Learning
  • Hedonic Regression
  • Data Visualization
  • Predictive Modeling

Technologies

  • SPSS
  • Python
  • TensorFlow
  • Pandas
  • JupyterNotebook

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