The choice of what machine learning algorithm to use always depends on the type of data you have. If you have a labeled dataset, then your obvious choice will be to select one of the supervised machine learning techniques. Moreover, if your labeled dataset contains real values in the target variable, then you will opt for regression algorithms. Finally, if your labeled dataset contains a categorical variable in the target variable, then you will opt for the classification algorithm. In any case, the algorithm you choose always depends on the type of dataset you have.
In a similar fashion, if your dataset does not contain any target variables, then the obvious choice is unsupervised algorithms. In this section, we are going to look at the unified approach to machine learning.
The machine learning workflow can be divided into several stages:
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