Diabetes Prediction App

Project Overview

The goal of this project is to build a predictive model that can identify whether an individual is likely to have diabetes based on several medical attributes. The project includes data preprocessing, model training, evaluation, and prediction.

Dataset

The dataset contains 768 samples with 8 features:

• Number of pregnancies
• Glucose level
• Blood pressure
• Skin thickness
• Insulin level
• Body mass index (BMI)
• Diabetes pedigree function
• Age

Installation

To get started with this project, clone the repository and install the necessary packages:

git clone https://github.com/UnknownUser130/Diabetes_Prediction.git
cd diabetes-prediction

To install requirements

pip install -r requirements.txt

To run the the app

streamlit run app.py

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