Data analysis and classification of counterfeit and genuine banknotes

CSE 575 Statistical Machine Learning

CLASSIFICATION USING K-NEAREST NEIGHBORS (KNN) ALGORITHM. This project is for classifying banknotes using the KNN algorithm.

Comparison of numerous supervised machine learning classifier models (Logistic Regression, K-Nearest Neighbors, Support Vector Machines and Decision Trees) predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes. (Python 3)

Deployment of ML Model using Fast API. To run the API use `uvicorn app:app --reload`