Nonlinear regression with curvefit in python | Complete explanation

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Deep Leaning foundation : Linear regression and statistics :--

Python for data science :--

Hi all we have already worked a lot with linear regression in python this video is about non linear regression. I have explained the methods to generate random data samples and fitting up nonlinear curves on top of them. you can create any type of non linear

Here is the link for jupyter notebook
----- Gitlab link will be availabe soon ----

this video is helpful if you are looking for

1. Non- Linear regression in python
2. Python curvefit
3. python gradient descend
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SLQSP, method used in scipy.minimize & symfit.Fit to perform constrained regression

is there any other algorithm than SLQSP for regression which is powerful and able to accomodate equlaity constraints in form of equation

KarthikeyanMmmm
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hello sir, i used curve fit from SciPy for fitting my X, Y data which is non linear. Now I need to impose some constraints ( like a fitted function should give a exact expected value or slope) please tell me any function available in python for non linear regression with user imposed constraints

KarthikeyanMmmm
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Can you pl tell me the code when I need to fit a curve from a given data file...

sudeephalder