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It's a ML project implemented with Docker

Jupyter Notebook 78.91% Python 19.89% Dockerfile 0.47% Shell 0.73%

bank-note-authentication-with-docker's Introduction

Bank Note Authentication with Docker(Overview)

Website UI

  • Created a tool using Random Forest that recognize bank notes from a kaggle dataset with 99% accuracy.

  • Optimized Random Forest to build the best model.

  • Built a client facing UI using Streamlit.

  • Built a client facing API using flask.

  • Uploaded this project on Cloud using Heroku.

Requirments:

  1. Python

  2. Flask

  3. Numpy

  4. Scikit-learn

  5. Matplotlib

  6. Pandas

  7. Flasgger

  8. Streamlit

Also to run this system dowload all on the requirements.txt Wuth r-install requirements.txt command

Sources

Dataset Link: https://www.kaggle.com/ritesaluja/bank-note-authentication-uci-data

Project Overview: https://www.youtube.com/user/krishnaik06

bank-note-authentication-with-docker's People

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