A very useful API for Cricket Fans
The Cricket Data Analytics project is made on T-20 Cricket World Cup Data.
ICC T20 World Cup 2022 Winner Prediction using Machine Learning
This is a data-analysis project of T20 of 2022, where we are going to take a look at the beloved cricket t20 series but from a data point of view, We analyzed the performance of each player since the start of the series trying to filter the players on based of their performance criterion.
Dashboard is created to analysis T20WC22 using Power BI to get great insights over the data.
Players Pick Pavilion...a demo website using simple React Js... Pick your favorite players and make your fantasy team.....
Explore my Jupyter Notebook 📊 featuring comprehensive datasets and visualizations from the 2024 T20 World Cup analysis. Discover key insights into player performances 🏏, match statistics 📈, and team dynamics, making it a valuable resource for cricket enthusiasts and analysts alike! 🌟et enthusiasts and analysts alike!
If you want to learn how to analyze a sports event like the T20 World Cup, this notebook is for you. This notebook will take you through the task of T20 World Cup 2022 analysis using Python.
Interactive Power BI dashboard analyzing ICC T20 World Cup stats with role-based insights, custom KPIs, and a star schema data model.
T20-World-Cup-Dataset
An ML project to predict the winners of the T20 Cricket World Cup
Built an interactive Power BI dashboard highlighting the Best XI from the T20 World Cup 2022 🏏, covering top openers, middle-order players, all-rounders, and tail-enders. The project follows a complete ETL pipeline — using Bright Data and Python for web scraping and data cleaning, and Power BI for modeling and visualization.
Assignment:- Survey analysis of T-20 world cup 2024
A streamlit web app that predicts the first innings runs scored by a team taking the runs of the first five overs as input.
T20 World Cup 2022 stats aggregation
Comprehensive T20 World Cup 2022 analytics project — leveraging web scraping, Python data preprocessing, and Power BI dashboarding to build a data-driven Best XI based on key performance metrics.
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