O'Reilly logo

Data Science: Mindset, Methodologies, and Misconceptions by Zacharias Voulgaris PhD

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 10 Handling Bugs and Mistakes

Once you have identified bugs in your code or mistakes in the data science process, you need to deal with them in an effective and efficient manner. In this chapter, I will examine how you can accomplish this so that you do not need to dedicate too many resources on these often annoying situations. In addition, I will discuss some ideas for selecting the most appropriate model in order to prevent the more serious pipeline issues as much as possible.

Strategies for Coping with Bugs

As we saw in Chapter 8, bugs can be a major inconvenience. Still, they are very difficult to avoid. So, in order to cope with this matter and not let it disrupt your workflow, it is essential to come up with various strategies ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required