/banknote_data_classifier

This project utilizes machine learning techniques to classify banknotes as authentic or forged based on features extracted from images of the banknotes. The dataset, bank_note_data.csv, includes attributes such as variance, skewness, kurtosis, and entropy of the images. The primary objective is to accurately identify authenticity of banknotes.

Primary LanguageR

Watchers