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This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
images		images
Decision_Tree_Regression_Model.ipynb		Decision_Tree_Regression_Model.ipynb
Procfile		Procfile
README.md		README.md
Random_Forest_Regression_.ipynb		Random_Forest_Regression_.ipynb
SVM_Regression_Model.ipynb		SVM_Regression_Model.ipynb
app.py		app.py
requirements.txt		requirements.txt
setup.sh		setup.sh
t20_Svm_model.pkl		t20_Svm_model.pkl
t20_dataset.csv		t20_dataset.csv
t20_decisionTree_model.pkl		t20_decisionTree_model.pkl
t20_randomForest_model.pkl		t20_randomForest_model.pkl

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Cricket Score Predictor

Holds the Award of "BEST INNOVATIVE IDEA" on the Final Year Project Exhibition @FET University of Sindh

Machine Learning based Cricket Score Predictor web app, that predicts the first innings score of a T20 Cricket Match. !!

For now it runs on localhost using streamlit and anaconda, not deployed yet

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Run Locally

Run this command git clone https://github.com/developer-junaid/Cricket-Score-Predictor.git
You are now in the dev environment and you can play around

Tech Stack

Python (Programming)
NumPy (for data calculations)
Pandas (for data filtering and analysis)
Scikit-learn (To train machine learning models)
matplotlib (To plot graph calculations)
plotly (To develop graph on the UI)
Streamlit (To develop Frontend)

About

This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.

python machine-learning numpy scikit-learn plotly pandas artificial-intelligence matplotlib jupyt streamlit streamlit-webapp

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