Exploring Four Simple and Effective Algorithms
IN THIS CHAPTER
Using linear and logistic regression
Understanding Bayes’ theorem and using it for naive classification
Predicting on the basis of cases being similar with KNN
In this new part of the book, you start to explore all the algorithms and tools necessary for learning from data (training a model with data) and being capable of predicting a numeric estimate (for example, house pricing) or a class (for instance, the species of an Iris flower) given any new example that you didn’t have before. In this chapter, you start with the simplest algorithms and work toward those that are more complex. The four algorithms in this chapter represent a good starting point for any data scientist.