Diabetes Prediction
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Description: In this project, I implemented a Logistic Regression model that predicts the likelihood of diabetes.
In addition, I implemented a web application with Streamlit which takes user input for various health metrics and provides a prediction based on a trained machine-learning model.
Technologies Used: Python, Genetic Algorithm, Numpy, Pandas
Highlights:
Built a predictive model using logistic regression.
Deployed the app using Streamlit for easy user interaction.
Cleaned and preprocessed the diabetes dataset to ensure accurate predictions.
Web App: Click Here
GitHub Link: See Project on GitHub
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