Tag: technology
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Leveraging NFL Combine Performance Data: A Machine Learning Analysis
By Cy Seeley, Rohan Madhur, Alexander Mollohan, and Jonathan David Abstract The NFL draft remains an unpredictable process, with teams evaluating a combination of athletic performance, college statistics, and positional value to determine player selections. This study applies machine learning techniques to predict an athlete’s draft position using NFL Combine performance metrics. Employing classification and…
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Unveiling Housing Market Dynamics: A Data-Driven Analysis of Price Trends, Clusters, and Correlations
By Cy Seeley, M.S. Student, Applied Data Science, Syracuse University Abstract This paper explores the dynamics of the U.S. housing market using a large real estate dataset containing over two million records. The analysis delves into housing prices, property sizes, and temporal trends through comprehensive data preparation, statistical methods, and advanced visualization techniques. Findings highlight…