Steps in building ML models

Now that we have seen some examples of the ML applications that are out there, the question is, How do we go about building such ML applications and systems? Books about ML and ML courses that are taught in universities typically start by covering the mathematics and theories behind ML algorithms and then apply those algorithms to a given dataset. This approach is great for people who are completely new to this subject and are looking to learn the foundations of ML. However, aspiring data scientists with some prior knowledge and experience and who are looking to apply their knowledge to real ML projects often stumble about where to start and how to approach a given ML project. In this section, we will discuss a ...

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