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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

The player tracking data contains the player’s position, direction, acceleration, and more (in x,y coordinates). There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. The data distribution for punt and kickoff are different.

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Machine Learning Strategies Part 07: Addressing Bias and Variance

Mlearning.ai

A more giant network and big data will improve the performance significantly. For example, if you are using regularization such as L2 regularization or dropout with your deep learning model that performs well on your hold-out-cross-validation set, then increasing the model size won’t hurt performance, it will stay the same or improve.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ). He completed his master’s degree in Data Science at Columbia University in the City of New York in December 2019.

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