Project Instruction

Use supervised learning techniques to automate the credit card approval process for banks.

• Preproccess the data and apply supervised learning techniques to find the best model and parameters for the job. Save the accuracy score from your best model as a numeric variable, best_score. Aim for an accuracy score of at least 0.75. The target variable is the last column of the DataFrame.