Lab: Build a Semi-Supervised Learning Model

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?

Business Analysts, Citizen Data Scientists, and Data Scientists who have completed a Starter Quest, AutoML I, or DataRobot for Data Scientists.

Technical requirements

• 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.