Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
.vscode		.vscode
datasets		datasets
models		models
notebooks		notebooks
templates		templates
README.md		README.md
application.py		application.py
requirements.txt		requirements.txt

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lab-flask

To run flask application

python app.py

To access your flask application open new tab in and paste the url:

https://{your_url}.pwskills.app:5000/

About

This project focuses on predicting the likelihood of diabetes in individuals using logistic regression, a powerful machine learning algorithm. Additionally, we have developed a user-friendly web application that allows users to input relevant health metrics and receive instant predictions regarding their risk of diabetes.

visualization exploratory-data-analysis eda feature-selection logistic-regression pickle feature-engineering diabetes-detection diabetes-prediction

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