Practical machine learning best practices

In this section, we will describe some good machine learning practices that need to be followed before developing a machine learning application of particular interest, as described in Figure 7:

Practical machine learning best practices

Figure 7: Machine learning systematic process.

A scalable and accurate ML application demand for following a systematic approach to its development from problem definition to presenting results can be summarized into four steps: problem definition and formulation, data preparation, finding suitable algorithms for machine learning, and finally, presenting the results after the machine learning model deployment. Well, ...

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