three-effective-feature-selection-strategies-e1f86f331fb1?source=rss----7f60cf5620c9---4&utm_content=buffer3fce9&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Feature selection is the most critical step behind having data. As necessary as it is, many guides and tutorials entirely skip this part of the process. Check out Becoming a Machine Learning Engineer Step 2: Pick a Process to learn more about what a good ML process looks like. I'm going to share some excellent methods do perform feature selection, so you can up your ML game. Well in real-world problems it is not always clear what features if any will help you model the problem you are attempting to solve.