ipl-data

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.

This is a repository consisting of some analysis and representation of data over the IPL Data set available on kaggle https://www.kaggle.com/manasgarg/ipl

The WPL T20 API provides data about the Women's Premier League T20 cricket tournament

Applied multiple linear regression and regression diagnostics on NSSO consumption data and IPL performance data to analyze prediction accuracy, model assumptions, and the relationship between player performance and compensation.

Implemented Principal Component Analysis to rank players who participated in the Indian Premiere League - 2012 based on the paper- "An Introductory Application of Principal Components to Cricket Data" by Ananda B.W. Manage & Stephen M. Scariano of Sam Houston State University.

DataBase Management Project based on Näive & Advanced Searching Techniques

A brief analytics on an IPL dataset.

Exploratory Data Analysis on IPL data (2008 - 2018). Finding patterns in data

In this project, we will scrape the data from ipl website, and analyze the data and deploy the data visualization dashboard on Heroku.

SVM Binary Classifier predicting IPL 2020 match outcomes using historical match-day data.