Short project to practice classification: Predicting the Man of the Match in an IPL game based on performances in the game.
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Updated
Aug 17, 2018 - R
Short project to practice classification: Predicting the Man of the Match in an IPL game based on performances in the game.
Fantasy sports in this age of technology has been a closely connected part of every particular sport community. This repository tries to predict the player performance index of each player.
Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%
Predict the match winning outcome of Dhoni for CSK. Further conditions: • It is given that Dhoni has to play the last over is not dismissed given that the last over has to be of the second innings.
Explore the exciting world of the IPL through the analysis using Power BI and presented on Streamlit! Our interactive visualizations break down player stats, team strategies, and match highlights in a simple and engaging way. Join our journey to simplify IPL analysis – it's cricket, made fun for everyone!
Analysis of IPL from 2008 to 2017
Designed an IPL Scheduler using C Programming
Here I have tried to make a replica of the 2023 IPL top run scorer's table.
A ML application on predicting winning probabilities of the playing teams in a IPL match deployed on flask framework
Explore the thrilling world of sports prediction with our user-friendly tool! 🏆 Whether you're following the IPL or the BBL, our platform forecasts match outcomes to assess your team's playoff prospects. Stay ahead of the curve, anticipate your team's journey to the playoffs effortlessly! ✅📊🛠️
The WPL T20 API provides data about the Women's Premier League T20 cricket tournament
Calculates the mathematical chances of each team qualifying for playoffs in Indian Premier League 🏏🏏
This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.
This application is designed to graphically represent the data from past IPL matches. The data set is taken from kaggle. The displayed result contains the win count on the Dashboard number of times a team has won from 2008 to 2017. It includes date wise details on teams played, location, win, Player of the match etc.
Indian Premier League(IPL) Dashboard, which is created on Tableau. Designed to analyze various metrics used in IPL pertaining to the teams, batsmen, bowlers and an overall phenomena.
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