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The thesis explores the transformative impact of Fantasy Cricket platforms like Dream11 on sports engagement, focusing on how data-driven decisions shape team management. It emphasizes the significance of datasets, such as Head-to-Head Stats and Venue Records, in player selection. Using the K-Nearest Neighbors algorithm, the study identifies promising players to form a winning Dream11 team, highlighting the intersection of cricket, fantasy sports, and data analytics. The research introduces innovative methodologies and comprehensive data analysis tailored to the dynamic landscape of fantasy…mehr

Produktbeschreibung
The thesis explores the transformative impact of Fantasy Cricket platforms like Dream11 on sports engagement, focusing on how data-driven decisions shape team management. It emphasizes the significance of datasets, such as Head-to-Head Stats and Venue Records, in player selection. Using the K-Nearest Neighbors algorithm, the study identifies promising players to form a winning Dream11 team, highlighting the intersection of cricket, fantasy sports, and data analytics. The research introduces innovative methodologies and comprehensive data analysis tailored to the dynamic landscape of fantasy sports, aiming to enhance understanding and decision-making in this field.
Autorenporträt
Sukhdayal Dhanday, de 23 anos, candidato a um mestrado em informática especializado em análise desportiva, está concentrado numa tese que combina a análise de dados com o desporto. Um educador que ensina Python e valores humanos, Sukhdayal destaca-se na simplificação de tópicos complexos para os alunos, visando a clareza e a excelência académica em todos os empreendimentos.