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Machine learning : Credit card Fraud detection project

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At first we start i assume that you know python preety much it's recommended but not necessary . At  First we Are going to use this data for Credit card fraud detection . https://www.kaggle.com/mlg-ulb/creditcardfraud   go to the link and download it . Before we start fitting our model to dataset we do some data processing. To Know much about data, and get more idea about data, data processing is must . 1. Importing Necessary Libraries To start, let's print out the version numbers of all the libraries we will be using in this project. This serves two purposes - it ensures we have installed the libraries correctly and ensures that this tutorial will be reproducible. In [1]: import sys import numpy import pandas import matplotlib import seaborn import scipy print ( 'Python: {}' . format ( sys . version )) print ( 'Numpy: {}' . format ( numpy . __version__ )) print ( 'Pandas: {}' . format ( pandas . __version__ )) print