Identifying-fake-banknotes

Comparing machine learning algorithms (Logistic Regression and KMeans clustering) in order to find the most accurate method for identifying fake banknotes.

Processed data:

• An Excel file with 1500 items (1000 genuine and 500 fake) and 6 measurements (Length right and left, height, diagonal, margins up and low).

Technologies Used

• Python 3.9.7 in Jupyter Notebook