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A Moneyball-Inspired Approach Using FIFA 2017 Data
In this project, I applied a Moneyball-inspired strategy to build the most cost-effective football team using the FIFA 2017 dataset. The objective was to select a balanced team that optimizes performance while minimizing costs. I analyzed key player attributes such as Overall, Potential, Wage, and Value, and defined a custom cost-effectiveness metric to identify the best candidates.
Exercise 4
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DS Labs Assignment
DSLabs Assignment
Data Mining
CRISP DM
Project 3
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