What are the components of a typical machine learning project?
What exactly constitutes a typical machine learning project? I'm curious about the essential components that should be included. Are there specific stages or methodologies that are universally recognized? It seems like there’s a lot of ambiguity around this topic, and I’d appreciate some clarity on what truly matters in such projects.
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