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Design a supervised learning model which can identify whether a currency note is real or fake

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dudeanurag/Fake-Currency-Identification

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Machine Learning Engineer Nanodegree

Capstone Project - Supervised Learning

Capstone Project: Identification of Fake Currency Notes

Install

This project requires Python 2.7 and the following Python libraries installed:

Dataset

The dataset required is 'Banknote Authentication' from UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/banknote+authentication) We have used the same dataset, but manually included title line, as the title line that describes the names of all featurs was missing. The same manually modified file is included with the submission.

Setup

This project does not require any specific setup, except all the libraries mentioned above.

Submission Files

Following files are included as part of submission:

  • README.md
  • proposal.pdf, the proposal of the project
  • Project_Report.pdf, final project report
  • banknote_authentication.ipynb, an ipython notebook as part of source code
  • visuals.py, part of source code implementing functions for rendering visuals
  • banknote_authentication.csv, the dataset used in the project

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Design a supervised learning model which can identify whether a currency note is real or fake

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