Model Basics
I am studying data science and learning how machine learning models make predictions. I understand the basic idea, but my assignment asks me to explain the steps in simple words. While searching for study ideas, I found Machine learning assignment help, but I want to understand the topic myself. Should I explain the data, training, and prediction steps separately? Would a small example make my answer easier to follow? I would really appreciate some simple suggestions from students who have learned machine learning and found good ways to explain difficult ideas.
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