Unit 2: Introduction to Machine Learning

In this unit we introduce the field of Machine Learning and develop the first set of techniques for supervised learning.

• Introduction to Machine Learning
• Linear Regression
• Classification: A First Look
• Measuring and Validating Classification Model Quality
• Solution to Spambase Take-Home Lab
• Nearest Neighbor Classification
• Decision Tree and Random Forrest
• Ensemble Techniques and Boosting
• Data Standardization And Pipelines