Data Preparation and Raw Data in Machine Learning - KDnuggets

With the massive amounts of data available, analytics and machine learning (ML) are increasingly used to extract critical information that can be used for many different things. For example, it is possible to automatically identify credit card fraud by studying how users interact with an eCommerce website. But this only works if all the relevant data has been prepared in a way that makes it amenable to machine learning algorithms. In this article, I will describe the data preparation techniques for machine learning. Raw data refers to the unprocessed, original data that is collected by computers.