Build a algorithm for predicting Random number generator output

We have a series of Input of random number ranging between let's say 0-30 and we need to predict the output of it. We can reuse the existing many machine learning algorithms ( i.e neural networks ).

Input :

0, 20,29,21,25,13.....

Given the list of input for example 1 lakh numbers generated by our random generator and when asked for next number it should be able to predict the next output number.

For example

Input: 0, 20,29,21,25,13.....12 (1 lakh input)

Output : next number output can be 10 or 29 or 4

Output can predict multiple number bassed on confidence but should be limited to value N (maximum 5 values ) present in code.

The better the accuracy to predict the better the pay for project.

I don't need any website/ app for this. I just need a proper working code end to end.

You can reuse any existing machine learning library/projects for this.

Skills: Machine Learning (ML), Neural Networks, Python, Algorithm

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About the Employer:
( 1 review ) Seattle, Canada

Project ID: #22157343

38 freelancers are bidding on average $2465 for this job


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