O'Reilly logo

R Machine Learning Essentials by Michele Usuelli

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 4. Step 1 – Data Exploration and Feature Engineering

There are different kinds of problems that require a machine learning solution. For instance, our target can be forecasting future outcomes or identifying patterns from the data. The starting point is a set of objects (for example, items) or people (for example, customers of a supermarket). In most situations, a machine learning technique identifies the solution, starting from some features that describe objects/people. The features are numeric and/or categorical attributes, and they are the base of the machine learning model. Having the right features will improve the performance and accuracy of the model, so it is extremely important to define some features that are relevant to the ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required