This is a repo maintained for the web app that web-scrapes IPL cricket player rankings through all seasons and also provides some interactive EDA functionalities.
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Updated
Nov 21, 2020 - Python
This is a repo maintained for the web app that web-scrapes IPL cricket player rankings through all seasons and also provides some interactive EDA functionalities.
Live Cricket Score Extension
This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.
CricketScorePrediction is Machine Learning Implementation on a huge Cricket dataset. It contains 2 models. One for predicting the final score of the first Inning keeping the current situation of the match. Second for predicting whether the chasing team will win or not keeping the current situation of the match.
IPL Score Prediction using Machine Learning & Flask
In this project, I predict a winner for the ashes ODI series between England and Australia where the away team is England and the home team is Australia using a machine learning algorithm.
Player detection for every cricketer playing in ICC Cricket World Cup 2019
The repository contains code for scraping data from the ESPNCricinfo website.
About IPL stands for Indian Premier League and this is an exploratory data analysis of sport Cricket based on various factors. As a Sport Analyst, the objective is to find the most successful teams, players and the factors contributing to win or to loose the game.
Used streamlit and to present data while manipulating SQL queries from local server
An LSTM model is used to predict optimal England and Australian Squads for the next ashes series based on the recent performances of the players. Jupyter notebooks and scraped datasets are attached with this repository.
This repository contains code that utilizes Selenium and ChromeDriver to scrape text data of short blogs with their headings from the Cricinfo website. It provides a simple and efficient way to extract specific information from Cricinfo and store it in a structured format.
Using LangChain to answer cricket-specific natural language queries!
Predicting the runs scored by an IPL team using a random-forest machine learning algorithm with the help of the dataset from kaggle
In this particular project we will looking at some key factors of different teams playing in the World Cup. We will also be looking at which all players India has to look out for in each team.
Win predictor from cricket match data
A detailed analysis of IPL dataset from the year 2008-18. Includes graphs and explainations.
The Duckworth-Lewis-Stern (DLS) Method Par Score Calculator is a Django website designed to calculate the revised target score for cricket matches affected by rain or interruptions. The DLS Method is a mathematical formula used to adjust the target score based on the number of overs played, wickets lost, and available resources.
A machine learning based webapp which predicts the first innings score of an ongoing IPL match. Additionally, it can also predict the winning probability of a team in an ODI match
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