14 results for “topic:indian-premier-leauge”
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.
Watch IPL 2025 for free
CIPS is a regression-based ML model that predicts the final score of a cricket team batting second in limited-overs matches (like IPL). Using live match data (overs left, wickets fallen, run rate, etc.).
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.
No description provided.
An app to visualize team and player performance in IPL
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.
Boundary Banter is a project focused on automating the generation of cricket news from live text commentary using advanced Natural Language Processing (NLP) techniques.
Performing 'Exploratory Data Analysis’ on dataset of Indian Premier League (IPL) Sport.
A machine learning side project to predict the wins based on the dataset from 2008-2024