Diabetes Prediction Analysis

Use machine learning to predict diabetes and embed the model on an interactive web page.

• My motivation was to push the limits of what I truly know while solving a business problem using Machine Learning.
• This project includes machine learning, data science, software engineering, and full stack development to deliver an easy to use interactive and scalable web application.
• It solves the problem of predicting the likelihood of someone developing diabetes. From a business perspective, you can use the results to target certain age or weight ranges for a specific service or product.
• Building this project reinforced the importance of APIs, interconnecting frameworks, and expanded my knowledge of software engineering, critical thinking and problem solving to integrate a business solution of current web design.

Table of Contents

• Installation
• Tools

Installation

To run the web app visit: https://ml-diabetes.onrender.com/

Tests

Test data is provided on the website

Tools Used

• Flask
• gUnicorn
• Python
• JavaScript
• HTML/CSS
• Bootstrap
• jupyter notebook
• Matplotlib
• Numpy
• Pandas
• seaborn
• sklearn
• Dash
• Voila ( removed )

Visulaization and Heroku no longer works. Had to migrate depolyment on new website.

Will update the visualzation section to include the original interactive visualizations and graphs when I find an API.