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.
Live project is available here.
Create and activate a virtualenv:
virtualenv cfd_apriori
cd cfd_apriori
source bin/activateClone the repository on your local environment
git clone https://github.com/aasis21/4th_umpire.git `Navigate to the folder
cd 4th_umpire/webInstall the required dependencies
pip3 install -r requirements.txt Run the localhost-server
python3 manage.py runserverThe web-app will be available at 127.0.0.1:8000 on your browser.
This web-app is created for Microsoft Code Fun Do competition.
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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.
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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.