Skip to content

Latest commit

 

History

History
8 lines (8 loc) · 583 Bytes

File metadata and controls

8 lines (8 loc) · 583 Bytes

datalouna_testTask

Test Task for DataLouna: Predict which team wins in CS:GO based on many features.

Model is built using CatBoost. Everything was implemented in Google Colab. If using code not in colab check path to dataset folder for variable 'csgo_dataset_dir'

Files overview

  • Full code and model is in csgo_prediction.ipynb notebook.
  • Model predictions for test data (test.csv) is in predictions.csv.
  • Initial dataset containing csv files is in csgo_dataset folder.
  • Additional files for plots, loss and accuracy historoy are located in catboost_info folder.