BanknoteClassificationModel

The aim is to predict whether a given banknote is authentic or counterfeit given a number of measures taken from a photograph.

Implemented Algorithms:

1. Support Vector Machine
2. K Nearest Neighbor
3. Gaussian Naive Bayes
4. Perceptron Learning

Machine learning libraries & module:

1. Scikit learn Library
2. csv module
3. random module

Read full tutorial article: https://medium.com/geekculture/building-a-machine-learning-model-for-banknote-authentication-f9c6855a9057

Result: I have compared four different algorithms in terms of performance and concluded that the KNN & SVM algorithms are the best algorithms for banknote authentication with an accuracy of 100% & 99.45%.