Liukis

Alternative ways to improve the model score even furtherPhoto by Silvan Arnet on UnsplashWhat are the typical ways to improve a Machine Learning model? Adding more features. Performing selection to remove redundant features. Optimizing hyper-parameters. Ensembling several models together. Yes, all of this may work, but there are many other approaches to improve the score. Maybe some of them are a little bit less known, and some are not applicable in all cases, but when applied at the right time they can bring significant…

Is there any point in doing that?At a first glance, the answer might seem obvious. But let’s not hurry with the conclusions before digging a little bit deeper.Photo by Markus Spiske on UnsplashI’ll start with a short story to create the context.Random Seed optimization in practiceAbout 7 years ago, I started to learn Data Science and at about the same time I also started to compete in Machine Learning competitions on Kaggle platform. I knew only a little bit of theory but didn’t have much experience in building real…

If you are about to build your first model, be aware and avoid theseData Science and Machine Learning are becoming more and more popular. The number of people in this field grows each day. Which means there are a lot of data scientists without big experience building their first Machine Learning models. And this is where mistakes are very likely to occur.Photo by Kind and Curious on UnsplashLet’s talk about some of the most frequently seen beginner mistakes in Machine Learning solutions to ensure that you are aware of and…