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STEP 3: Feature Creation

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**Task** Define the feature variables which are to be predicted using this model **Function to implement** feature_creation()

STEP 4: Handling Missing Values

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**Task** Check to see if there are any missing values in both the datasets imported. If yes, then fill those missing values. **Functions to implement** missing_values_table(df) solution_missing_values(df)

STEP 2: Import the credit card dataset

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Got your first PR merged? Awesome! Continuing the task we started in our last issue: **Task** Try importing the Credit Card data set using the pandas package

**EDA and Vintage Analysis** Perform EDA for the data set to find best factors to be considered for the model. What is Vintage Analysis could be searched [here](https://www.listendata.com/2019/09/credit-risk-vintage-analysis.html). **Where to...