Hello, I don't know how to do this question 1.2.2. Can you help me to solve this question with code in Python? Also, Ignore the "credit_card.csv". Just do the given data1 part and the pd is basically the import pandas module. Pandas is an open source data analysis and manipulation tool in Python. Thank you so much!

Getting Started Take a look at the columns in the dataset [creditilard.CHW. We have V1-V20, 'Amount', and 'Time' as input features, and 'Cla value 1 if it's fraud and 0 otherwise. This dataset presents 492 frauds out of 284,807 transactions. That means, there are 284,80 ? in the csv file. We will use this dataset to implement logistic regression using batch and stochastic gradient descent for binary classification. Basics of Pandas Task 1.2.2: Oversampling in practice Your task is to observe the data in credit_card.csv/and apply the oversampling technique to the dataset