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4th Umpire

This Django and Machine Learning powered Web app predicts and analyse IPL matches. It currently has three working model i.e prediction of a match winner before toss, prediction of expected score of 1st inning at any point of time during the match and prediction of winner, match concluding over during the 2nd inning of the match.

Webpage

Live project is available here.

Local Setup

Create and activate a virtualenv:

virtualenv cfd_apriori
cd cfd_apriori
source bin/activate

Clone the repository on your local environment 

git clone https://github.com/aasis21/4th_umpire.git `

Navigate to the folder 

cd 4th_umpire/web

Install the required dependencies 

pip3 install -r requirements.txt

Run the localhost-server 

python3 manage.py runserver

The web-app will be available at 127.0.0.1:8000 on your browser.

About

This web-app is created for Microsoft Code Fun Do competition.

  • In this project we have tried various algorithms like Naive Bayes, SVM, Random Forest for training our various machine learning models. And finally,we have used random forest algorithm.

  • We have used dataset from Kaggle and then modified the csv files and make various csv files in order to train and for working of our different models.In addition, We have use varoius python libraries such as scikit learn, numpy, pandas,etc in order to code our models.