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I have data in two columns, X and Y where the function Y changes for increasing values of the X variable. If Y shows variations with X, the simplest way to do this is by fitting the data with a linear function.(In python), but I am looking for some "advanced" strategy (other than linear regression, i.e., using Neural Networks or other machine learning techniques) to elaborate on these data because the data is quite sparse. Need guidance .

What I have tried:

I have tried linear regression in python
Andre Oosthuizen 7-Aug-23 14:16pm    
You will probably get a better answer in our AI board - CodeProject | Artificial Intelligence[^]
[no name] 8-Aug-23 0:55am    
If ML has nothing to compare it with, it can't make any inferences beyond "linear regression". (Or least squares).
Andre Oosthuizen 8-Aug-23 4:30am    
I posted a suggestion in the AI forum, thank you for posting there. Please remove this question, thank you. CP AI Forum | Which technique to apply if function Y changes with values of X variables other than linear regression[^]
Member 10639636 8-Aug-23 9:36am    
can you tell me how can i DELETE question from here. because delete option is not display here
Andre Oosthuizen 8-Aug-23 9:42am    
It's ok, we will flag and close it.

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