1. If I had a set of parameters/variables and a set of output values. How could I know which parameters are actually contributing to the cause of the output values? Could I use feature selection methods like the wrapper methods just for this purpose? (Sorry if this was a dumb question) If so, which feature selection models would you guys suggest? If not, what can I do to achieve this purpose?

  2. Which ML algorithms or models are good for analyzing continuous variables? Specifically, I am trying to find correlation between variables and output. I can only think of linear regression, regression trees, and KNN. Any other suggestions? Best if answered in a list!

  3. If I have a relatively small data set, what can I do to make up for that?

Thank you guys so much in advance.


closed as too broad by Siong Thye Goh, Mark.F, Peter, georg-un, Dan Scally Aug 14 at 12:03

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