Introduction to Data Transformation Techniques

One of most difficult things in data science and analytics is creating a good mathematical representation for all of the variables that play together to generate patterns. This module is designed to educate around the concept of creating accurate representations of all data types that can easily be used to optimize an algorithm. Accuracy is key here, because if an inaccurate representation of the variables is created, it can possibly lead to a low accuracy model or worse, a model that looks good but doesn’t perform well when applied to the real world.