29. Outro

Recap

In this lesson, you were introduced to linear models. Specifically, you saw:

• Gradient descent as a method to optimize your linear models.
• Multiple Linear Regression as a technique for when you are comparing more than two variables.
• Polynomial Regression for relationships between variables that aren't linear.
• Regularization as a technique to assure that your models will not only fit to the data available, but also extend to new situations.

Outro

In this lesson, you were predicting quantitative values. Predicting quantitative values is often just considered a Regression problem. In the next lesson, you will be introduced to predicting a category, which is called a Classification problem.