When we build any type of project, there are checks that the project should accomplish. In the case of machine learning projects are nos distinct.Since now we have been explaining the mathematics(Statistics, Probability, Linear algebra, Calculus) that will allow us to understand how machine learning models work. But machine learning is more than an algorithm, it’s easy to train a model by itself, the difficult part is making it useful!
The first thing to do is to detect a problem and try to answer these questions:
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