Supervised Learning - Classification Week 7 Challenge

question 1¶

Pros and Cons of SVM

Pros: It works really well with a clear margin of separation. It is effective in high dimensional spaces.

Cons: It doesn't perform well when we have large data set because the required training time is higher.

question 2 in jupiter notebook