Supervised Learning - Classification Week 8 Challenge

1. What are the pros and cons of knn?

sol:

Advantages:

No Training Period

easy to implement.

Dis advantages:

Does not work well with large dataset

Does not work well with high dimensions

Need feature scaling

Sensitive to noisy data, missing values and outliers