Alain Ledon & Amit Bhattacharyya - Logistics Regression & NFL
731 views · Published 9 December 2014 · 24:49 · Indexed 12 November 2026
Channel: PyData · 2014 · Science & Technology
PyData NYC 2014 Using machine learning to beat your friends in a NFL confidence pool. Betting spreads provide a consistent and robust mechanism for encapsulating the variables and predicting outcomes of NFL games. In a weekly confidence pool, spreads also perform very well as opposed to intuition-based guessing and supposed knowledge from years of being a fan. We present some attempts and analysis to use machine learning in order to make improvements on the spread method of ranking winners on a weekly basis. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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