Hello to everyone!
I'm an aerospace engineer who is starting to work in the data science field.
I'm working a project in which I have a materials' database and I have to do different tasks with it. First of all, I have to find similar materials (given a new material and criteria my program must give the "n" closest materials in the database to the new one). Secondly, if an element of the database lacks any property, the program must predict its value. Finally, given a new material, its properties must be predicted.
Do you have any idea of how to face it? I've been searching on the Internet for and couldn't find anything of interest. The idea is to apply Big Data/Machine Learning tools to it, but I don't really know which ones would be good for the problem stated.
Thanks in advance!
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José Manuel García López
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