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from google.colab import drive
drive.mount('/content/gdrive')
Mounted at /content/gdrive
# Importing required libraries

import numpy as np
import pandas as pd
pd.set_option('display.max_rows',1000)
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
# Reading the train and test dataset

df_train = pd.read_csv('/content/gdrive/MyDrive/Capstone Project upGrad/fraudTrain.csv')
df_test = pd.read_csv('/content/gdrive/MyDrive/Capstone Project upGrad/fraudTest.csv')
df_train.head()
Exploratory Data Analysis
print(df_train.shape)
print(df_test.shape)
(1296675, 23) (555719, 23)