UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1812065


Registration ID:
192480

Page Number

475-477

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Title

Football Team Analyzer and Builder using Machine Learning

Abstract

Dilemma is to decide whether a player should be in-team for a certain match or not. Without knowing the abilities of opponent it is hard to decide the team lineup. Selecting the perfect lineup and tactics is the main concern of the team manager. In order to create a perfect team, considering all the factors like player’s form, speed, agility, hit ratio, goal ratio, defense, and history and team’s win ratio, player relationships, and many more. Building a team so that the current team has a better chance of winning using the system. This system helps predict a better team formation according to the geographical, performance factors.

Key Words

ML, AI, KDD

Cite This Article

"Football Team Analyzer and Builder using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.475-477, December-2018, Available :http://www.jetir.org/papers/JETIR1812065.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Football Team Analyzer and Builder using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp475-477, December-2018, Available at : http://www.jetir.org/papers/JETIR1812065.pdf

Publication Details

Published Paper ID: JETIR1812065
Registration ID: 192480
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 475-477
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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