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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Analysis and prediction for performance of indian premier league |
| Authors Name: | M. Tharun kumar , R. Karthik kumar , R. Vijender , K.Kumar , Dr.J.Paramesh |
| Unique Id: | IJSDR2304201 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | The Indian Premier League (IPL) is a professional men’s Twenty20 cricket league in which 10 teams compete from ten different locations. Millions of people, especially Indians, are obsessed with the Indian Premier League (IPL), and our job involves data analysis and match prediction for IPL matches. In recent years, analytics has been used to predict and draw various insights in the field of sports. IPL Data Analysis is all about utilizing data science, machine learning to analyze data that is already existing in a data collection. The project begins with pushing the IPL match data played between 2008 and 2020 using Python modules such as Applications of ski learn, followed by pre-processing, data analysis and visualization, and finally creates a model that predicts the teams' overall score and in the cricket match. When building models, we use machine learning algorithms ,Linear Regression and Support Vector Machine. |
| Keywords: | Random forest algorithm, Linear Regression, skilearn |
| Cite Article: | "Analysis and prediction for performance of indian premier league", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1247 - 1249, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304201.pdf |
| Downloads: | 000338719 |
| Publication Details: | Published Paper ID: IJSDR2304201 Registration ID:205350 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1247 - 1249 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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