diabetes-prediction

Diabetes Prediction Project

Overview

The Diabetes Prediction Project is a machine learning application developed in Python to predict the likelihood of diabetes in individuals based on various health metrics. The model uses historical data to identify patterns and make predictions, aiding in early diagnosis and prevention.

Technologies Used

• Programming Language: Python
• Libraries:
  • Pandas
  • NumPy
  • Scikit-learn
  • Matplotlib
  • Seaborn

Features

• Data preprocessing and cleaning
• Feature selection and engineering
• Model training and evaluation
• Visualization of results
• User-friendly interface for inputting data

Installation

Prerequisites

Ensure you have the following installed:

• Python 3.x
• pip (Python package installer)

Usage

Input the required health metrics when prompted to receive a prediction on the likelihood of diabetes.

Authors

• Sai Donepudi (SaiDonepudi@my.unt.edu)