Chapter 2
Classification and Regression Using Supervised Learning
Section 8
Classifying Income Data
In this video, we will build a Support Vector Machine classifier to predict the income bracket of a given person based on 14 attributes. Our goal is to see where the income is higher or lower than $50,000 per year. - Read the data and convert the list into numpy array - Create and train the SVM classifier - Compute F1 score