The project sought to explore the qualities and characteristics that distinguish world-class tennis players from their peers.

-> This project was undertaken as part of a group effort at Hamoye, where i did my internship. The primary objective of this initiative was to promote collaboration and teamwork among colleagues.

Dataset Overview

tThe Association of Tennis Professionals (ATP) is the governing body of the men's professional tennis circuits; this project uses a total of 17 datasets. In these datasets there are individual csv files for ATP tournament from 2000 to 2017. The numbers in the last columns are absolute values.

During the model training stage, we prepared the data for modeling and trained various machine learning algorithms to make predictions or gain deeper insights from the Olympic athletes' data.

All tables were merged into one table which contained 53,571 rows and 49 columns. From the table, columns not feasible for the study were dropped. Thereafter, the duplicates and null values were removed. Finally, the dataset was formatted. The wrangled dataset contained 44,310 rows and 25 columns.

Key Insights

- Best players maximize their aces on the Grass surface.

- Clay is the natural surface of Spain and this surface is very vital for the development of a player. Thus, to become the top player, it is vital to practice on Clay surface.

- Top players take advantage of their first serve. However, if they fail during their first serve, they still have potential of winning their second serve.

- Top players are coached in the direction of reducing the number of double faults.

- The height of player has a minimal bearing on the performance of the player.

- To be considered as a top or outstanding tennis player, it is crucial to really dominate at least 2 or 3 of the top ten tennis tournament.