Business and Economics
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
When applying for a credit card or loan, it is common knowledge that financial institutions carefully evaluate your information before reaching a decision. This is due to the significant financial implications that granting a loan can have on their operations. But what factors influence their decision-making process? In this course, you will gain valuable insights into the preparation of credit application data. Furthermore, you will acquire the skills to effectively utilize machine learning techniques and business rules to mitigate risk and maximize profitability. Through the utilization of two realistic credit application datasets, the emphasis will be placed on deriving meaningful business value. I invite you to join me on this educational journey and discover the inherent value of credit risk modeling.
by DataCamp
Learn how to prepare credit application data, apply machine learning and business rules to reduce ri...
by DataCamp
Apply statistical modeling in a real-life setting using logistic regression and decision trees to mo...
by DataCamp
Learn how to use tree-based models and ensembles to make classification and regression predictions w...
by DataCamp
Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.
by DataCamp
Learn to tune hyperparameters in Python.