fit function in python
from scipy import optimize
def f(x,a,b): return x*a+b
popt, pcov = optimize.curve_fit(f, xdata, ydata)
#popt contains the fitted parameters and pcov is the covariance matrix
#with variances on the diagonalfit function in python
from scipy import optimize
def f(x,a,b): return x*a+b
popt, pcov = optimize.curve_fit(f, xdata, ydata)
#popt contains the fitted parameters and pcov is the covariance matrix
#with variances on the diagonalsklearn - check the name of a machine learning
# Define the model
model1 = LogisticRegression()
# Check the name of the model
# It is useful when we are dealing with many alternative models
model1.__class__.__name__Copyright © 2021 Codeinu
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