[go: up one dir, main page]

Skip to content

This is a university project for my Data Mining course. This work focuses on a binary classification task (related to CS-GO); which team will win?

Notifications You must be signed in to change notification settings

teo-sl/CS-GO-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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

About

This is a university project for my Data Mining course. This work focuses on a binary classification task (related to CS-GO); which team will win?

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published