IPL Win Prediction System

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  This page takes match inputs like overs and wickets and predicts the winner of the Indian Premier League with probability % clearly.

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  Takes IPL data like teams, runs, wickets, overs, and venue to analyze patterns and prepare data for prediction in the Indian Premier League.

IPL Win Prediction System The inspiration for this project comes from the popularity and unpredictability of the Indian Premier League. As a cricket enthusiast, I was curious to see how data like team performance, player stats, and match conditions can be used to predict match outcomes. This project combines my interest in cricket with machine learning to turn match data into meaningful predictions. Inspired by the excitement and unpredictability of the Indian Premier League, this project focuses on predicting match outcomes using data and machine learning. It analyzes historical IPL data, team performance, and player statistics to estimate winning probabilities. The system was built by collecting and preprocessing data and applying machine learning models. During development, challenges like handling incomplete data, selecting important features, and improving accuracy were faced. Despite this, we successfully created a working prediction model and gained valuable insights. This project helped in learning data analysis, machine learning concepts, and the practical use of data for real-world predictions.

Built With

• jupyter
• matplotlib
• numpy
• pandas
• python
• scikit-learn