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2026_BANA7025_group04_finalproject.html.
Erica Fatica
Pushpa Priya Sripathi
Taiwo Mudah
ATP Player Performance in the 2023 Season
This project uses unsupervised learning to group ATP players from the 2023 season based on season-level performance data. By analyzing win rates, surface performance, match volume, and opponent ranking, players are segmented using clustering methods. The results show that tennis performance involves multiple dimensions and cannot be explained by ranking alone.
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Evaluation of the Nutritional Efficiency of Cereals
In this brief analysis, I evaluate the nutritional efficiency of cereals based on the macronutrients present in the *80 Cereals* sample, available on the Kaggle platform.
Exploratory data analyses were conducted, along with t-tests to assess statistically significant differences between the means of the three main macronutrients.
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Mappa liquid pdv con province
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