An Extended Version Of The Scikit-Learn Cheat Sheet
You probably know the famous scikit-learn algorithm cheat sheet. This is a kind of decision tree, helping to figure out what machine learning algorithm to choose, depending on the type of problem you have: classification, regression, etc. … Now that I'm doing "real life" data science within an organization, and not only "challenge" data science, I realize that before applying this cheat sheet, a lot of steps must be overcome. So, for fun, I added some preliminary stages, that I called "complication"… Before doing anything with data, you must ask yourself: am I authorized to do it? The question is easy, but the answer is not. Indeed, it may depend on the country, the domain, the usage, etc. … Generally, when you use collected data for a "primary" use (e.g.
Nov-2-2019, 22:18:27 GMT
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