Aciago/Fake_banknote_detection

Detecting fake money using machine learning

💶 Fake banknote detection using ML

👉Notebook👈

💪 Learning goals:

• apply and interpret PCA (Principal component analysis)
• apply K-means clustering algorithm
• build and apply logistic regression
• build, train and apply Machine Learning algorithms

💼 Scenario:

We work for a govermental agency that fights counterfeiting. Our mission is to create a counterfeit detection algorithm.

📦 Dataset:

Our dataset contains geometric characteristics of banknotes. For each of them, we know:

• length of the banknote (in mm) ;
• height of the banknote (measured on the left side, in mm);
• height of the banknote (measured on the right side, in mm) ;
• margin between the top edge of the banknote and the banknote image (in mm);
• margin between the lower edge of the banknote and its image (in mm);
• diagonal of the banknote (in mm).

📊 Results and conclusions:

Full presentation