(xpost from /r/learnprogramming because I hadn't known this subreddit existed)
Hi, so I'm trying to learn how to use Orange with python to do data comparisons, and machine learning to make educated predictions and would be grateful if i could be pointed into the right direction for what I wanted to do.
So to begin with, i'm trying to compare 2 sets of data, and see if one affects the other. For example, if i had the following data sets:
A = [1,2,3,2,1]
B = [2,5,8,1,3]
C = [10,14,16,14,10]
Is there some kind of analysis that could be done, where Orange could figure out that A and C are similar, as they increase and decrease at the same points? I'm hoping to be able to identify that C is closer to A than B in that regard, and then, say if C had another value given, be able to predict what the new value in A was.
I'm currently still following the tutorials found on the Orange site , but, I feel like i still may not know how to approach my problem at the end. If anyone knows how to go about this, do you think you could point out some functions or classes I should be looking into?
Would it be better to do this with something other than Orange? such as PyBrain or PyML?
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