I think coding is divided into two parts: theory and practice. However, if we focus too much on each, we won't be able to apply it well when we actually code, and we won't know why it actually works this way. This lecture is a lecture that can cover both theory and practice. Of course, even if it's hard to learn the details through this lecture (it's more efficient to study that part on your own or you can learn it at university), you can learn how the overall flow is flowing, and because of this, you can recognize and proceed with the overall flow when you do your next personal project. This may seem small, but it's very helpful when you actually start doing a project. I've taken Dave Lee's classes on data analysis/crawling/database/machine learning, and for me, it's a class that made me realize that coding is 'fun'. This class was not only helpful to me, but it was also fun, which was the best part. Thank you so much for explaining machine learning so easily and understandably. I would appreciate it if you could make more interesting classes in the future. Thank you!