This project was created to make it easier for us to perform simulations on Machine Learning.
This project also aims to make the data exploration experience more interactive and fun. Without needing a lot of code, we can do it right away with a click and select.

.
├── images
├── functions
│   ├── custom_dataset.py
│   ├── get_best.py
│   ├── get_classifier.py
│   ├── get_data.py
│   ├── get_pca.py
│   ├── get_plot.py
│   ├── get_result.py
│   └── get_sidebar.csv
├── sample
│   ├── 2D.csv
│   └── 3D.csv
├── apps.py
├── Procfile
├── requirements.txt
├── setup.sh
.

There are some important files in this repository, such as:

• functions folder contains various functions and procedures to maximize the performance and features of the dashboard.
• sample folder contains some sample data that can be used to test the file upload feature.
• apps.py is the python file to deploy our web app in Streamlit.

To run the project locally, you can download this repo and type

streamlit run apps.py

To view the project as a deployed online web app, you can check out with Heroku

This project was inspired by:

• Membuat WebApp Machine Learning Interaktif by Afif Akbar
• Machine Learning Model Dashboard by Himanshu Sharma
• Membuat WebApp Machine Learning Interaktif
• Streamlit cheat sheet