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Welcome to our Machine Learning project!

This repository contains the source code used for the project.

The scope of the project is classification of clothing images from a subset of the FashionMNIST dataset.

Dimensionality reduction methods used:

  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)

Machine Learning classification methods used:

  • Naive Bayes
  • Support Vector Machines
  • Convolutional Neural Network

The project has been worked out by Andreas Kruse Svenningsen and Sebastian Nygaard Wærling

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Machine Learning Project for ITU Machine Learning Course

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