I am working on an automated math analyzer (sort of an statistical analyst in a 
box) that 

1. uses artificial intelligence to recognize probable candidate mathematical 
models for the data 
2. performs standard mathematical model fits for the best candidate models 
3. computes the standard statistical goodness of fit and statistical power 
4. computes and report a quantitative measure of the "falsifiability" of the 
mathematical model 
5. generates NumPy code for verification

I'm looking for data sets to analyze to test out the machine learning 
capabilities. We've done some interesting work so far, but there is a lot of 
validation we need to do. We'd love to work with anyone on the group to analyze 
your data and show you the output logs and generated code.


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