Summary of ML Zoomcamp 6.1 - Credit Risk Scoring Project

00:00:00 - 00:05:00

In this video, the instructor teaches how to build a model that can be used by a bank to decide whether or not to lend money to a customer. The data set used for training is called "credit scoring." The instructor uses a data set from a course to teach three models: a decision tree, a random forest, and a gradient boosting machine learning algorithm.

• 00:00:00 The student's goal in this session is to build a model that the bank can use to make a decision about whether to lend money to a customer. The data set used for training is called "credit scoring."
• 00:05:00 This week, the instructor will be using a data set from a course to teach three models: a decision tree, a random forest, and a gradient boosting machine learning algorithm.