https://github.com/miteshgupta07/streamlit-machine-learning-app

A Streamlit application for interactive exploratory data analysis (EDA) and data visualization, offering dynamic tools to analyze and visualize machine learning datasets.
https://github.com/miteshgupta07/streamlit-machine-learning-app

data-visualization python streamlit

Last synced: about 19 hours ago
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A Streamlit application for interactive exploratory data analysis (EDA) and data visualization, offering dynamic tools to analyze and visualize machine learning datasets.

• Host: GitHub
• URL: https://github.com/miteshgupta07/streamlit-machine-learning-app
• Owner: miteshgupta07
• License: mit
• Created: 2024-01-01T06:06:22.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-11-02T08:32:49.000Z (6 days ago)
• Last Synced: 2024-11-02T09:22:29.713Z (6 days ago)
• Topics: data-visualization, python, streamlit
• Language: Python
• Homepage:
• Size: 198 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning App

This web application project is created using Streamlit and utilizes machine learning models to offer functionality such as EDA(Exploratory Data Analysis), Data Visualisation, Model selection for better prediction.

## Features

- **User-Friendly Interface:** Streamlit provides an intuitive and interactive UI for users.

- **Machine Learning Integration:** Utilizes machine learning models for prediction, classification.

- **Customizable:** Easily configurable to adapt to different models or data.

## Demo

![Screenshot (56)](https://github.com/miteshgupta07/Streamlit-Machine-Learning-App/assets/111682782/6b11bc1d-6371-48a4-a177-7112f3d8abd1)

## Prerequisites

- Python 3.8

- Dependencies List -

  - **Streamlit:** A framework library in python for creating web application.

    - Install: `pip install streamlit`

  

  - **Scikit Learn:** A Machine Learning Library in python.

    - Install: `pip install scikit-learn`

## Acknowledgements

- **Streamlit:** Special thanks to the Streamlit team for providing an excellent framework for building interactive web applications with Python.

  

- **Scikit-Learn:** A heartfelt acknowledgment to the scikit-learn developers and contributors for their outstanding work on creating a powerful machine learning library in Python.

## Contact

Email : [email protected]

Linkedin : https://www.linkedin.com/in/mitesh-gupta/

Twitter : https://twitter.com/mg_mitesh