Prediction and Analysis of Indian Premier League Using Machine Learning |
Author(s): |
| Mr. Shivshant Vinayak Patil , Dr. J. J. Magdum College of Engineering, Jaysingpur; Miss. Shivani Vijaykumar Ambarge, Dr. J. J. Magdum College of Engineering, Jaysingpur; Mrs. Sneha Pravin Madnaik, Dr. J. J. Magdum College of Engineering, Jaysingpur; Mr. Rushikesh Shripad Pandit, Dr. J. J. Magdum College of Engineering, Jaysingpur |
Keywords: |
| Data Science, Numpy, Pandas, Matplotlib, Cricket Prediction, Supervised Learning, Decision Tree |
Abstract |
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Cricket is one of famous sport in world. It contain large set of statistical data. IPL is played in 20 - 20 format. This game is very unpredictable. IPL match analysis is a ML based approach where the data sets and previous stats are trained in all dimensions covering all important factors such as: season, city, date, toss_winner, toss_decision, result, win_by_run, win_by_wicket, player_of_match etc. It focuses on measuring the outcome of Indian Premier League (IPL) matches by applying the existing data mining algorithms to the balanced as well as imbalanced dataset. This model is very much popular in analysing and predicting modeling. The eight founding franchises were the Mumbai Indians, the Chennai Super Kings, the Royal Challengers Bangalore, the Deccan Chargers (based in Hyderabad), the Delhi Daredevils, the Punjab XI Kings (Mohali), the Kolkata Knight Riders, and the Rajasthan Royals (Jaipur). In late 2010 two franchises, Rajasthan and Punjab, were expelled from the league by the BCCI for breeches of ownership policy, but they were later reinstated in time for the 2011 tournament. |
Other Details |
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Paper ID: IJSRDV9I50154 Published in: Volume : 9, Issue : 5 Publication Date: 01/08/2021 Page(s): 77-79 |
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