Hello, This Notebook Contains example of Bank Deposite classification.

- We try to predict if the bank campaign should contact with cretain customer.

- We use Pandas library for data exploratory, Seaborn Library for visualize data(found in bank_visualization file).

- We use Scikit-Learn library for training and testing models.

- We implement different techniques for feature selection, and we use Grid_Search technique for parameters tunning.

- Finally we save all results in 'results.csv' file