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In this article, an image classification task will be discussed:

Through the project, my team and I applied 3 models seeking the highest result accuracy. The models used are:

K-means clustering, Support Vector Machine (SVC), and Convolutional Neural Network (CNN). My teammates and I will break down a model each — this article will tackle upon core logic and processes behind the SVC model.

But first, let's briefly go over the task itself:

Task Summary

Our goal was to apply 3 different models over images from this dataset. The dataset contains about 32.000 pictures of various facial expressions sized in 48x48. …

Matvei Fatin

Erasmus University Student

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