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Diabetes Prediction Model

A machine learning model for predicting diabetes based on medical data.

Files

  • diabetes.csv - Dataset containing medical records
  • Logistic_Regression.ipynb - Jupyter notebook with the prediction model

Overview

This project uses logistic regression to predict the likelihood of diabetes in patients based on various medical features.

Getting Started

  1. Open the Jupyter notebook Logistic_Regression.ipynb
  2. Run the cells sequentially to train and evaluate the model

Requirements

  • Python
  • Jupyter Notebook
  • pandas, numpy, scikit-learn

About

A machine learning model that predicts diabetes using logistic regression on medical data. The model analyzes patient features like glucose levels and BMI to classify diabetes risk.

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