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
• Solution to Spambase Lab
• Measuring and Validating Classification Model Quality
• Nearest Neighbor Classification
• Logistic Regression and Naive Bayes
• Decision Tree and Random Forrest
• Project 1 Summary
• Data Standardization And Pipelines
• Model Persistence
• Closing Remarks for Unit 2