What Did we Learn and What to Expect in Assignment 1

Module Learning Outcomes

By the end of the module, students are expected to:

• Explain motivation to study machine learning.
• Differentiate between supervised and unsupervised learning.
• Differentiate between classification and regression problems.
• Explain machine learning terminology such as features, targets, training, and error.
• Use DummyClassifier/ Dummy Regressor as a baseline for machine learning problems.
• Explain the .fit() and .predict() paradigm and use .score() method of ML models.

The assignment will concentrate on the learning objectives as well as building knowledge on existing concepts.

On to Assignment 1!