ATHLETE'S PERFORMANCE PREDICTION MODEL BASED ON MACHINE LEARNING TECHNIQUES
DOI:
https://doi.org/10.24867/03OO02MijatovicKeywords:
machine learning, prediction, data science, sports predictionAbstract
The purpose of this research is to train model for athlete performance prediction, based on machine learning techniques. In order to train the model, large amount of data was collected, preprocessed and the fed to the model. Model was eventually evaluated and tested.
References
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[7] http://scikit-learn.org/stable/documentation
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[2] Alison George, Free online MIT courses are an education revolution, New Scientist, Volume 219, Issue 2925, 2013
[3] Spyros Makridakis, The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms, Futures, Volume 90, 2017
[4] http://python.org
[5] C. Shearer, The CRISP-DM model: the new blueprint for data mining, J. Data Warehousing 5 (4) (2000)
[6] Garreta, R., & Moncecchi, G. (2013). Learning scikit-learn: Machine learning in python. Birmingham ; Mumbai: Packard publishing limited.
[7] http://scikit-learn.org/stable/documentation
[8] Yuanhao (Stanley) Yang (2015) Predicting Regular Season Results of NBA Teams Based on Regression Analysis of Common Basketball Statistics
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Published
2019-07-31
Issue
Section
Information Systems Engineering
