Credit Risk Modeling in Python

Starting at USD 39.00
4 hours duration

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.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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