Machine Learning Basics 06: Standardizing Test Data and Cross Validation, MOST COMMON MISTAKE in ML

One of the most common mistakes made in machine learning is that people do standardization wrongly when it comes to test data and cross validation. In this video, I demonstrate how to standardize test data in both the normal setting and in the context of cross validation. Find my previous video on cross validation here For theory: https://youtu.be/8gzkZ_DZuGg For R programming: https://youtu.be/mnFe_eaVKNI Visit my personal website for more on machine learning https://wangleibill.wixsite.com/website