dzelrahman/Best-Tennis-Player-Cluster

The data is structured by each row containing one match, including match info, along with winning and losing player’s statistics. The goal of this project is to explore how top tennis players group together based on their statistics, particularly in the matches that have best of 5 format, using Principle Component Analysis (PCA) and K-Means clustering analysis. In addition, I also explore how clusters of players differ by surface (hard, clay, and grass).

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