Model Selection
I am working on a data science task where I need to choose a machine learning algorithm for predicting house prices. I know there are many choices, but I am unsure how to decide which one fits the problem. While searching for guidance, I found Machine learning algorithm assignment help. Should I first understand the type of data and prediction needed? Would comparing two simple algorithms be enough for a beginner task? I would appreciate advice on how to make a sensible choice without simply picking a model because it sounds popular.
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