In this chapter, we are going to learn about classification and regression of data using supervised learning techniques. By the end of this chapter, you will know about these topics:
What is the difference between supervised and unsupervised learning?
What is classification?
How to preprocess data using various methods
What is label encoding?
How to build a logistic regression classifier
What is Naïve Bayes classifier?
What is a confusion matrix?
What are Support Vector Machines and how to build a classifier based on that?
What is linear and polynomial regression?
How to build a linear regressor for single variable and multivariable data
How to estimate housing prices using Support Vector Regressor