/Classification-Visualization

This repository contains the main.py file that performs different Classification algorithms on popular datasets like the Iris dataset, Breast Cancer dataset, and Wine dataset from UCI Machine Learning Repository and shows its results in a simple UI. Also, the visualization of the data is done using Matplotlib. The datasets are multidimensional, thus I have applied PCA first to reduce the dataset to two-dimension and then have plotted it.

Primary LanguagePython

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