Complete the Lab
Give Us Your Feedback
Lab: Build a Semi-Supervised Learning Model
Use Cases: Anti-Money Laundering
On this mission, you will build a semi-supervised learning model to predict money laundering. Unlike supervised machine learning where the dataset is labeled with the outcome for each row, semi-supervised machine learning addresses the case where you don't have enough labeled data.
In this activity, you will first build a supervised learning model. Next, you will build a semi-supervised learning model that generates additional labeled data by "self training" the initial model.
Format and duration: self-paced, hands-on, 1 hour
Who should complete this mission?
- Chrome browser
- DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.