Chapter 7: Supervised Machine Learning
As you begin to progress your career and skill set in the field of data science, you will encounter many different types of models that fall into one of the two categories of either supervised or unsupervised learning. Recall that in applications of unsupervised learning, models are generally trained to either cluster or transform data in order to group or reshape data to extract insights when labels are not available for the given dataset. Within this chapter, we will now discuss the applications of supervised learning as they apply to the areas of classification and regression to develop powerful predictive models to make educated guesses about a dataset's labels.
Over the course of this chapter, we will discuss the following topics:
- Understanding supervised learning
- Measuring success in supervised machine learning
- Understanding classification in supervised machine learning
- Understanding regression in supervised machine...
