https://github.com/elysian01/ml-eda-and-modelling-using-streamlit

Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
https://github.com/elysian01/ml-eda-and-modelling-using-streamlit

data-analysis data-visualization eda exploratory-data-analysis knn-classification logistic-regression matplotlib ml-model-on-web ml-models naive-bayes-classifier pandas seaborn streamlit streamlit-webapp

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Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.

• Host: GitHub
• URL: https://github.com/elysian01/ml-eda-and-modelling-using-streamlit
• Owner: Elysian01
• License: gpl-3.0
• Created: 2020-06-20T16:35:18.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-02-01T21:24:40.000Z (9 months ago)
• Last Synced: 2024-08-19T13:25:52.902Z (3 months ago)
• Topics: data-analysis, data-visualization, eda, exploratory-data-analysis, knn-classification, logistic-regression, matplotlib, ml-model-on-web, ml-models, naive-bayes-classifier, pandas, seaborn, streamlit, streamlit-webapp
• Language: Python
• Homepage: https://eda-data-explorer.herokuapp.com/
• Size: 16.1 MB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# [Web App For Exploratory Data Analysis and Modelling using Streamlit](https://eda-data-explorer.herokuapp.com/)

Beautiful Web interface made using Streamlit library for quick Exploratory Data Analysis and building classification models which are implemented from scratch.

Classification Algorithm which are implemented from scratch using python includes:

1. Logistic Regression

2. Naive Bayes

3. K-NN

The user also has the priviledge to either choose from inbuilt popular 10 datasets or can upload his own dataset.

## Demo



## Get Started

Install all the dependencies

```python

pip install -r requirements.txt

```

Run the application

```python

streamlit run app.py

```