How to build a Machine Learning model to identify credit card fraud in 5 Steps

When starting a new modeling project, it is important to start with EDA in order to understand the dataset. In this case, the credit card fraud dataset from Kaggle contains 284,807 rows with 31 columns. This particular dataset contains no nulls, but note that this may not be the case when dealing with datasets in reality.

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