Objective

Build up predictive model to identify counterfeit notes for bank.

Tasks

1.Describe raw dataset(=sample) using univariate/bivariate analysis.

2.PCA(principal component analysis) on sample to identify the correlation between variables in the sample as well as its characteristics. This task will give the answer to the genuine/counterfeit nature of the note.

3.Apply classification algorithm.

4.Create model detecting genuine/counterfeit note based on previous steps.