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CS-GO, Data Mining project

Teodoro Sullazzo, Filippo Andrea Folino


This is a university project carried out together with my colleague Filippo Andrea Folino for our Data Mining course.
The project focused on a binary classification task (related to CS-GO), which team will win?.
The project includes the various phases of the CRISP-DM methodology:
  • Business Understanding
  • Data understanding
  • Data preprocessing
  • Modeling
  • Model evaluation

Different models have been considered:

  • decision trees
  • naive bayes classifiers
  • KNN
  • artificial neural networks
  • etc ...

Great attention was given to the model's tuning