I recently came across the concept of SVM and machine learning. I'm very new to it so I'm trying to understand it and apply it to my work as quickly as possible before my project ends/is terminated. So far, understanding and applying machine learning sounds like the heavenly answer to my problem.
I'm given all of these attributes of people who set an appointment with our company and people who didn't set an appointment. So we are trying to figure out the demographic of people who will set an appointment (so we can target them better). Initially I mapped everything to {0,1,} buckets. i.e. output: Getting an appointment is {0,1}. Input: Are you married {0,1}? Are you a homeowner {0,1}? It kind of got tricky with continuous data e.g. age? home market value? But I kind of arbitrarily split them into buckets e.g. Age less than 50 {0,1}?
A software engineer working in market research described machine learning as finding patterns from large amounts data. Apparently, we can input all of our attributes and it goes through this black box and poof! comes an answer. Is this an oversimplification?
I'm reading many articles and tutorials on machine learning and SVM, but I can't find much applications. I would love some magic software/website where I can input all of my data and it gives me an answer - does this exist?
So far, my Excel regression is giving me really bad models... with high p-values and bad overall fit. :-(
I would appreciate any insight into this! More applications-oriented articles? Or websites that can receive input and generate some pattern?
I am an undergraduate student majoring in mathematics. This is my first internship where I am actually processing raw data and I have to make recommendations for my boss.
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