Lab: Categorize Text with NLP

On this mission, you will use machine learning and Natural Language Processing (NLP) to classify consumer complaints. You will classify consumer complaints by building a binary classification model, then a multiclass classification model. 

Mission format and duration: self-paced, hands-on, 45 minutes

Upon completion of this mission, you will be able to: 

• Differentiate between NLP model blueprints 
• Build and evaluate NLP binary classification and multiclass classification models
• Use a multiclass confusion matrix to evaluate an NLP model
• Make predictions using the multiclass model you’ve built

Who should complete this mission?

• Business Analysts
• Citizen Data Scientists
• Data Scientists

Before embarking on this mission, you should complete one of the following:

• Starter Quest appropriate for your role (self-paced mission)
• AutoML I (virtual instructor-led mission)
• DataRobot for Data Scientists (virtual instructor-led mission)

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.