How to write a simple neural network to determine the rating of a bank?

Question

Machine learning

I need the simplest python neural network to determine the rating of a bank by input parameters. There is a file with the characteristics of the bank (turnover, visitors, reviews, etc.) and its rating - a number from 0 to 50. Tell me where to start?
On the freelance exchanges, I could not find anyone who, for an adequate cost, could implement such a task with comments. Any library can be used. The main thing is that the problem is solved

Answer 1

In my opinion, it's better to start by finding some expert and talking to him live for an hour or two. Maybe even agree to pay for a consultation if there is no such thing among friends.
An overly general question for a Q&A service like Toaster.

Answer 2

Not really understood the question "how to write"? Maybe you are still interested in "Which method to use"?
Let me ask one more question - why a neural network? A neural network needs a LOT of data to train. About several thousand. Do you have them?
Now for the method. It all depends on what (by type) data you have. If they are changed in a quantitative scale, then you can try to apply the methods of rank regression, the method of principal components, well, maybe something else from the field of scaling theory.
If your data is presented in different scales - quantitative, rank, nominal, dichotomous, then the easiest way is to build a classifier. For example - based on trees.
Well, if you're very lucky,
"Libraries" - or rather, modules that implement the specified methods in the Scikit-Learn library (in Python) - are more than enough.