**MISSION 139**

# Introduction To K-Nearest Neighbors

Learn the basics of machine learning to suggest optimal AirBnB list prices.

#### Objectives

#### Mission Outline

1. Problem definition

2. Introduction to the data

3. K-nearest neighbors

4. Euclidean distance

5. Calculate distance for all observations

6. Randomizing, and sorting

7. Average price

8. Function to make predictions

9. Next steps

10. Takeaways