May 2020
Intermediate to advanced
530 pages
17h 8m
English
Let's now see how to use the methods we've described for solving a classification task on artificial datasets, which we can see in the following screenshot:

As we can see, these datasets contain two and three different classes of objects, so it makes sense to use methods for multi-class classification because such tasks appear more often in real life; they can be easily reduced to binary classification.
Classification is a supervised technique, so we usually have a training dataset, as well as new data for classification. To model this situation, we will use two datasets ...
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