Description
As you know, data science, and more specifically machine learning, is very much en vogue now, so guess what? I decided to enroll in a MOOC to become fluent in data science. But when you start with a…
Summary
- Getting started with data science when you’re already a strong dev As you know, data science, and more specifically machine learning, is very much en vogue now, so guess what?
- The least you can do is always look at the data before interpreting results.
- If you want to set breakpoints or use single-step execution more comfortably, you will need an IDE (integrated development environment) that supports interactive debugging, like Visual Studio Code or PyCharm.
- For instance, DVC (we have already met it previously) provides you with a mechanism to capture data pipelines — series of data processes that produce a final result.