I am trying to model a relationship in Python that has a decay in the y value as time increases. The relationship is nonlinear, however I do not know what the underlying equation is. I would like to regress multiple equations to see which has the best fit, such as y = a / (1 + bt) + c / (1 + dt) or y = a / (1 + e^(b-ct)) + d / (1 + et), etc. Is there any way to do this in Python?

Apologies if this is a daft question – I’m fairly new to machine learning.

I’m new to regression analysis in python and greatly appreciate your help:

I have a formula (Y = x1 + Ax1^2 + Bx2^2 + Cx3^2 + Constant), and a dataset to train the model.

I’m new to regression analysis in Python. I have a formula (Y = x1 + Ax1^2 + Bx2^2 + Cx3^2 + Constant), and a dataset to train the model.