Summary
Congratulations on completing the third chapter of the book! In this chapter, we learned the types of standard probability distribution, as well as when and how to generate them in R. We also learned how to find PDFs and CDFs of unknown distributions with KDE. In the final section, we learned how to compare two samples and determine whether they belong to the same distribution in R. In further chapters, we will learn about other types of unsupervised learning techniques that will help not only in exploratory data analysis but also give us other useful insights into data as well.
