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