Blockchain Data Analytics For Dummies

Chapter 10

Classifying Blockchain Data

IN THIS CHAPTER

Identifying common data characteristics

Assigning labels to data

Choosing the right algorithm for your data

Assessing the value of your model with diagnostics

Writing Python code to label data with classifications

Chapter 9 introduces clustering and association rules analysis, which help analysts uncover patterns and relationships in data. By examining features present in existing data, you can uncover relationships and use those relationships to better understand your data and, more importantly, what that data represents. Understanding your customer data is good, but gaining a clearer understanding of your customers who produce that data is far better. By understanding your customers, you may be able to tailor your service and product offerings to better meet their needs. That approach can lead to more sales, lower costs, or any goals your organization pursues.

Data that represents past behavior is often useful for predicting ...