An insights to SVM

Requirements:

• python

The Model:

• Analysis of SVM in 3 types of DATA i.e for linear to almost linear to a non linear data.
• visualization of classification and margin error.
• understanding the importance of support vectors.
• applied kernal and plotted decision boundary.
• compared various accuracy score.

Instructions:

• just give time and understand ITS BEAUTY.