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Research Article

IPL Data Analysis using Python

  • Paper ID 619
  • Volume 3, Issue 4
  • Pages 51-55
  • Published Online: July-August 2022
  • 1 Views
Open Access Peer Reviewed

Authors

  • Jayesh S. Mahajan1
  • Dipak R. Purkar2
  • Sagar S. Pardeshi3
  • Ganesh M. Kharche4
  • prof. Rahul Kumar Patel5

12345E&TC, KCE Society’s College of Engineering and Management, Jalgaon, India.

Article Information

DOI
No DOI
Published Online
July-August 2022
Pages
51-55
Article Type
Research Article
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Abstract

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Abstract: We all know that we live in an information age, where data plays akey role. If you own the data, you own everything. But what happens after you get the data? Well, it depends on what kind of data you get. You might have some kind of data on your hands that you have to analyse to get valuable information. Like if you are working in Zomato, then you have to do data analysis on the data you have. If you are working in some advertisement company then you have to perform data analysis there, too. By analyzing their data, you may provide some valuable information and strategy to the company. Enough thesis here. Now, we all watch cricket generally and we all know the Indian premier league (IPL) is the biggest cricket league in the world. Let’s perform the data analysis of IPL with the data of IPL matches from 2008 to 2020. Firstly, we studied about python programming language on online platform and then studied about Data analysis from E papers , and from all possible things on that basis we select this project. After selecting this project we decide to analyse the IPL data from 2008 To 2020. IPL dataset we take from Kaggle website and afterwe studied about machine learning algorithms that is linear and logistics algorithms under the guidance of our respective Guide.

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