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Search: diabetesprediction
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Showing 3 results from 3
razuswe/PrimaIndianDiabetesprediction
GitHub Jupyter Notebook MIT LicenseI used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and NaΓ―ve Bayes (NB)
External source
GitHub
mirzayasirabdullahbaig07/Diabetes-Prediction-Model
GitHub PythonAn interactive Machine Learning-powered web application that predicts whether a person is diabetic based on key health parameters. Built with Python, Scikit-learn, and Streamlit, this app aims to make early diabetes risk detection simple and accessible.
External source
GitHub
niharikagulati/diabetesprediction
GitHub Jupyter Notebook GNU General Public License v3.0Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patientβs lab test result variables like Glucose, Blood Pressure, etc. using CART decision tree algorithm and K-Nearest Model achieving 76% accuracy. Python-Scikit Learn, SciPy, Pandas, MatPlotLib.
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GitHub