This project applies the clustering algorithm (K-Means) on the Call-of-Duty players' info dataset.
Link to the Kaggle Post: https://www.kaggle.com/pouyashiri/cod-player-clustering
Link to the Kaggle Dataset used: https://www.kaggle.com/aishahakami/call-of-duty-players
Steps:
- At the beginning, the columns are modified.
- There are two pipelines considered: preprocessing and clustering. The preprocessing includes standardization and applying PCA for dimension reduction.
- The optimum number of clusters (K in K-Means) and the number of PCA components are found.
- Finally, the discovered clusters are labeld based on the current level of the players.
scikit-learn, pandas, matplotlib, seaborn, numpy