How to make a neuron in Python fit the coefficients of equations?

Question

Python

Hello.
What functions in SciPy/NumPy can be used to fit the coefficients of an equation?

Example:
We have an equation 3x^2 + 5x + 10 = 0.
Where a=3, b=5, c=10.
How to make a python neuron pick up these coefficients on its own? For example, from a comparison of the original chart with known coefficients and a chart with randomly generated ones.

Answer 1

This is not a neuron, but a regression. Well, or stupidly a system of linear equations.

Answer 2

Lord, again a bicycle ....
Well, you put it in the "machine learning" tag. So you understand that everything starts not with neural networks, but with statistics. There your problem, which is called the regression problem, has been solved elementarily for 120 years.
sklearn has a LinearRegression function.
Numpy has a module numpy.linalg.linalg, which has the
necessary implementations .com/implement-simpl...
And here the "randomly generated graph" is not clear at all. And how are you going to compare graphs if the graph is a drawing. And you can compare data. And you don’t have to immediately take on non-linear functions, start with the simplest ones, with linear ones, then you will get to quadratic and several variables. In general, I recommend spending time and understanding the basics, so that later you don’t look like this: