R Deep Learning Projects

Exploratory data analysis

An often overlooked step is exploratory data analysis. Before jumping straight into the data and trying to do fancy deep learning architectures, let's step back and look at what we have around.

Let's begin by downloading the dataset from Kaggle: (https://www.kaggle.com/dalpozz/creditcardfraud) and importing it into R:

df <- read.csv("./data/creditcard.csv", stringsAsFactors = F)head(df)

Before moving on, we should do a basic sanity check. Some of the things we should look for are:

• Verify that there are indeed only two classes (0 for normal transactions, 1 for fraudulent)
• Verify that the timestamp corresponds to two days
• Check that there are no missing values

Once this is done, we can perform two quick checks, an ...