Binary classification with unbalanced tabular data
The notebook describes the approach for solving binary classification problem with strongly unbalanced tabular data. Given dataset containing current and past loans granted by the company, the goal is to predict the loan status (1 or 0) where frequency of 0s is greater than frequency of 1s.