Chapter 13
Writing Models from Scratch
IN THIS CHAPTER
Connecting to a blockchain and reading data
Updating datasets from new blockchain data
Choosing a blockchain language
Planning for blockchain development
Managing blockchain software development
Chapters 9 through 12 cover how to build clustering, classification, regression, and time series models using the Python language. Although you need to know how to write code in Python, you rely heavily on libraries to do most of the heavy lifting. Have you ever wondered whether you could just build models from scratch? The answer is yes, you can. It takes a lot more time (at least the first time) to build an analytics model from scratch, but the payoff is maximum flexibility. If you write a model, you can make it behave any way you want.
Of course, if you over-tweak a model to make it work well, you risk making it so customized that it won’t work with any other data. Whether you use generic libraries, write everything from scratch, or ...
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