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This is a tutorial repo.

Objectives

  • get basic intuition about preparing data for classification
  • get familiar with simple classifiers from sklearn
  • understand advantages of machine learning frameworks, in particular PyTorch
  • get familiar with evaluation methods for a model
  • understand the impact of hyperparameters on the final result

Main goal of this code is to provide playground for the task of classification.


Author: © Volodymyr Holubets 2017