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Deep_Learning_Internship_Works

I took part in a series of studies from the creation of a dataset of an artificial intelligence model that can categorize a given website to the optimization of hyperparameters:

  • The features that could be included in the dataset were determined.
  • Data was collected from the websites for these features determined from the websites previously obtained for each category value.
  • The dataset to be used in model training was prepared with this data.
  • Data preprocessing was done before the model training phase.
  • The model was trained with the processed and edited dataset.
  • Hyperparameters were optimized to improve the accuracy of the model.

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This repository contains my internship works on Deep Learning at BG-TEK company.

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