T20 World Cup — Analytics is a Python-based data analytics project that explores match and player data from the T20 World Cup to uncover meaningful insights and performance trends.

This project analyzes IPL (Indian Premier League) 🏏 data from 2008-2017 using Tableau 📊 to create interactive dashboards. It explores match outcomes, player performances 🏅, and team statistics 📈, offering insights into trends, top players 🌟, and team performances. The project uses `matches.csv` 📁 and `deliveries.csv` 📂 datasets to visualize

Data-driven analysis of IPL 2016 player and team performances using R.

In this project I have created an men's t20 internationals cricket score predictor considering various factors like batting team, bowling team, current score etc. and got an 99% r2 score on training and 98% r2 score on testing.

Intent Quotient (IQ) : Cricket Batting Intent Analysis

📊 Analyze T20 World Cup match data with a Flask backend and a simple frontend, featuring JSON APIs and interactive charts for insights.