Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Related tags

Machine Learningpythonrandom-forestclassificationsupport-vector-machinesprincipal-component-analysisprincipalknearest-neighbor-classifierstreamlit
Overview

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Datasets Used: Iris dataset, Breast Cancer Dataset and Wine Dataset from UC Irvine Machine Learning Repository

Preview

Example of Streamlit|635x380

Installation

You need these dependencies:

pip install streamlit
pip install scikit-learn
pip install matplotlib

Usage

Clone the repository

git clone https://github.com/lionelsamrat10/Classification-Visualization.git

Go to the project directory

cd Classification-Visualization-main

Run

streamlit run main.py
Owner
Samrat Mitra
Aspiring Data Scientist | Community member @EddieHubCommunity, @web3community, @Collective | Research interest in Deep Learning and Computer Vision, NLP
Samrat Mitra
GitHub Repository https://deploy-app-st-sam.herokuapp.com/
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