Diabetes Prediction Project

Welcome to the Diabetes Prediction Project repository! In this project, our primary objective is to predict whether a patient has diabetes or not based on a range of features, including Pregnancies, Glucose levels, Blood Pressure, Skin Thickness, Insulin, BMI (Body Mass Index), Diabetes Pedigree Function, and Age. We will take you through all the steps of the data science pipeline, from data gathering to model deployment. Finally creating a user-friendly web application using Streamlit and Pickle for model deployment.

Read more it in my Blogpost

Final result of web application

Installation

1. Clone this repository and unzip it.
2. Begin a new virtual environment with Anaconda and activate it.
3. Install required packages.
4. Execute the command: streamlit run "file path"
5. Open http://192.168.1.100:8501 in your Browser.