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