https://github.com/leosimoes/streamlit-logistic-regressor

Web application for logistic regression made using Streamlit.
https://github.com/leosimoes/streamlit-logistic-regressor

logistic-regression machine-learning model-building python streamlit

Last synced: 2 days ago
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Web application for logistic regression made using Streamlit.

• Host: GitHub
• URL: https://github.com/leosimoes/streamlit-logistic-regressor
• Owner: leosimoes
• License: mit
• Created: 2021-04-29T23:11:54.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2023-11-01T22:22:30.000Z (over 1 year ago)
• Last Synced: 2024-12-02T12:17:11.404Z (2 months ago)
• Topics: logistic-regression, machine-learning, model-building, python, streamlit
• Language: Python
• Homepage: https://logistic-regression.streamlit.app
• Size: 156 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Logistic Regression Web App made with Streamlit

Author: Leonardo Simões

## How to use the application

To access an application hosted on the Streamlit Community Cloud:

[Link](https://logistic-regression.streamlit.app)

To run the project locally after downloading it, install the dependencies and run the `streamlit run streamlit_app.py` command.

## Functionalities

Some of the functionalities applied to the dataset:

* display head;

* display dimensions;

* display column names;

* generate scatter plot;

* generate correlation plot;

* generate pairplot;

* generate logistic regression plot;

* calculate and display logistic regression parameters. 

## Class diagram

![UML Class diagram](Diagram-UML-Class.png)