https://github.com/prakharrathi25/streamlit-machine-learning-app

An app made using streamlit to compare machine learning algorithms
https://github.com/prakharrathi25/streamlit-machine-learning-app

hacktoberfest streamlit-webapp

Last synced: 1 day ago
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An app made using streamlit to compare machine learning algorithms

• Host: GitHub
• URL: https://github.com/prakharrathi25/streamlit-machine-learning-app
• Owner: prakharrathi25
• Created: 2020-07-28T11:35:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-10-01T04:49:42.000Z (over 3 years ago)
• Last Synced: 2023-03-03T21:37:24.344Z (almost 2 years ago)
• Topics: hacktoberfest, streamlit-webapp
• Language: Python
• Homepage:
• Size: 144 KB
• Stars: 5
• Watchers: 0
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Webapp Deployed Using Streamlit

A machine learning application which lets you compare different machine learning algorithms and tune parameters with interactive GUI. This was achieved using streamlit. Streamlit is an open-source Python library that makes it easy to build beautiful custom web-apps for machine learning and data science.

This application lets you play around with different machine learning algorithms:-

1. K Nearest Neighbors

2. Support Vector Classifier 

3. Random Forest 

You can also change the datasets:- 

1. Iris Dataset

2. Breast Cancer Dataset 

3. Wine Quality Dataset

I also display the datapoints plotted on a 2-D plane by decomposition using Principle Component Analysis. There is an option for scaling the data as well. 

## Tech Stack 

1. Stremlit 

2. sk-learn 

3. PCA 

## How to Run 

1. Clone this repository on your local machine

2. Install Streamlit: `pip install streamlit`

3. Run the Streamlit app using: `streamlit run app.py`  

## Preview 



  

    App look with KNN algorithm and Iris Dataset 

    

  

 
 

 

 


  

    Wine Quality dataset with Random Forest and Scaled Data