https://github.com/unknownuser130/diabetes_prediction
Analysis and Prediction of diabetes dataset (For learning Machine Learning)
https://github.com/unknownuser130/diabetes_prediction
machine-learning streamlit
Last synced: about 1 month ago
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Analysis and Prediction of diabetes dataset (For learning Machine Learning)
- Host: GitHub
- URL: https://github.com/unknownuser130/diabetes_prediction
- Owner: UnknownUser130
- Created: 2024-06-03T15:19:42.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-29T16:09:18.000Z (almost 2 years ago)
- Last Synced: 2025-06-17T04:39:49.540Z (12 months ago)
- Topics: machine-learning, streamlit
- Language: Jupyter Notebook
- Homepage: https://diabetesprediction-mvhfdvx7lkypkne2ainnkd.streamlit.app/
- Size: 1.68 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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:
```bash
git clone https://github.com/UnknownUser130/Diabetes_Prediction.git
cd diabetes-prediction
```
To install requirements
```bash
pip install -r requirements.txt
```
To run the the app
```bash
streamlit run app.py
```
[Click Here to View](https://diabetesprediction-mvhfdvx7lkypkne2ainnkd.streamlit.app/)