In this project, we will scrape the data from ipl website, and analyze the data and deploy the data visualization dashboard on Heroku.
Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/
A Data Science Project
Exploratory Data Analysis (EDA) on IPL Dataset The Indian Premier League (IPL) is one of the most popular and competitive T20 cricket leagues in the world. With a vast amount of data available, performing an Exploratory Data Analysis (EDA) on the IPL dataset can provide valuable insights into the game, teams, and players.
IPL Score Prediction model using Deep Learning and Ensemble techniques.
An app to visualize team and player performance in IPL
IPL data analysis project involves analyzing data related to the Indian Premier League (IPL), a popular professional cricket league in India. The project aims to derive insights, trends, and patterns from various IPL datasets, which can include player statistics,, and performance optimization in the IPL.
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! ✅📊🛠️
Performing 'Exploratory Data Analysis’ on dataset of Indian Premier League (IPL) Sport.
Boundary Banter is a project focused on automating the generation of cricket news from live text commentary using advanced Natural Language Processing (NLP) techniques.
This Power BI dashboard provides insights into the IPL from 2008 to 2022. It features team performance, player stats, match outcomes, and seasonal trends with interactive visualizations. Key highlights include top players, head-to-head comparisons, venue win ratios, and season-wise analysis—helping analysts and fans understand IPL dynamics better.
A machine learning side project to predict the wins based on the dataset from 2008-2024
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