Predicts Sports Winner Team
Welcome to the "IPL Win Predictor" project! This machine learning model, built using logistic regression, predicts the probability of a team winning an IPL match based on the current match situation.
This is a IPL match predictor that is made of machine learning algorithms and deployed on flask web as backend
Simulating the IPL matches with the help of clustering and desicion tree by using the past IPL statistics of players.
Building & Deployment of IPL First Innings Score Prediction on Heruko
"Excited to share my latest project on LinkedIn! 🏏 Introducing my IPL prediction ML model deployed on Streamlit. Trained meticulously on data spanning 2008-2017,this Streamlit-deployed solution offers a glimpse into cricket match outcomes. Should there be any deviations, it's likely attributed to the data's timeframe.
Welcome to the "IPL Win Predictor" project! This machine learning model, built using logistic regression, predicts the probability of a team winning an IPL match based on the current match situation.
IPL First Innings prediction using python.
In this repo I have developed a IPL First Innings Score Prediction project in machine learning. And deployed on Heroku app.
These are the work done while my internship period for Internpe 2023
Play with your friends by predicting the Winning Team before the match starts.
In this repository we predict the probability of winning IPL cricket matches in each ball of an over while running the second innings.
Welcome to the "IPL Wining Predictor" project! This machine learning model, built using predicts the probability of a team winning an IPL match based on the current match situation.
IPL score prediction build using flask deployed using heroku.
The IPL Win Predictor is a Streamlit app that uses a CatBoost model to predict IPL match win probabilities based on teams, city, score, overs, and wickets. It features a high-contrast UI and is Heroku-deployable.
A Machine Learning Web App, Built with Flask, Deployed using Heroku.
This project predicts the optimal playing XI for IPL matches using statistical models and player performance data. It assists in fantasy cricket team selection and match outcome forecasting.
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