Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prediction of football players performance using machine learning and deep learning algorithms Subject The topic of the resource Deep Learning Algorithm; Machine Learning algorithm Linear Regression; Neural networks; Performance Prediction Description An account of the resource In modern days the margin of error for football game is low, therefore the ultimate aim of the game is to win the match. The performance of the players in the match affects the results of the game. Due to this it is very important to evaluate the player and know his weakness. Manual evaluation tends to generate many errors and take more time. In the current research the statistical model is proposed to predict the stats of the football player based on previous session data by considering various aspects of the game. Through literature reviews it is observed that machine learning and deep learning algorithms can be used predict the performance of football player. But which model would be more efficient considering the positions of the player is not considered in any article. The proposed model has designed separate model as per the position of the player during the game. This can help to predict the player's performance as per their playing position. The current study has successfully implemented various machine learning and deep learning models and provide comparative analysis of the same. Each position has considered different variables associated with that position. The performance of these models is compared for further clarification 2021 IEEE. Creator An entity primarily responsible for making the resource Manish. S.; Bhagat V.; Pramila R.M. Source A related resource from which the described resource is derived 2021 2nd International Conference for Emerging Technology, INCET 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INCET51464.2021.9456424" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET51464.2021.9456424</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334181&amp;doi=10.1109%2FINCET51464.2021.9456424&amp;partnerID=40&amp;md5=08439906702208501ed7eeae3af94f5b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334181&amp;doi=10.1109%2fINCET51464.2021.9456424&amp;partnerID=40&amp;md5=08439906702208501ed7eeae3af94f5b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817029-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manish. S., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Bhagat V., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Pramila R.M., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India