Machine Learning with Python: Understanding Machine Learning with Python in the World of Data Science by Robert Wilson

Author:Robert Wilson
Language: eng
Format: azw3, epub, pdf
Published: 2017-06-26T07:00:00+00:00

So, for our first project, we are going to set it up to classify iris flowers on the machine. There are a few reasons that this is a good place to get started. First, there are some numeric attributes, which makes it possible to figure out on how the loading and the handling of the data will be done. The problem for this part is going to fall under a classification category, meaning that it will be possible for you to implement this one by using a supervised learning algorithm. It is also a multi-class classification problem, which means that you are going to need a specialized form of handling it. The project is still pretty small so it will fit onto your memory without problems. For this one, the numeric units that we use will be on the same units and the same scale. This means that it is not necessary to spend time on scaling or transformations to make it work.

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