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DSAIT4020 Elements of Statistical Learning

This repository contains the code of group 30.

Installation

To install all the Python packages that are used in the project, run:

pip install -r requirements.txt

Authors

  • Lászlo Roovers
  • Ivans Kravcevs
  • Adrian Josan

About

Applied statistical learning models to predict Amsterdam housing prices using a dataset of 810 properties. This process identified six key predictive features, including geographic and socioeconomic factors. Implemented both feature selection and PCA for dimensionality reduction.

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