One step beyond
As mentioned earlier in this chapter, Kaggle notebooks are a fantastic tool for education and participating in competitions—but they also serve another extremely useful purpose, namely a component of a portfolio you can use to demonstrate your data science skills.
There are many potential criteria to consider when building your data science portfolio (branding, audience reach, enabling a pitch to your potential employer etc.) but none of them matter if nobody can find them. Because Kaggle is part of Google, the notebooks are indexed by the most popular search engine in the world—so if someone is looking for a topic related to your code, it will show up in their search results.
Below I show a “personal” example: a few years ago, I wrote a notebook for a competition—the problem I wanted to tackle was adversarial validation (for those unfamiliar with the topic: a fairly easy way to see if your training and test sets have a similar distribution...
