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