for ridge regression, if the regularization parameter alpha = 0, what does it mean? in python

If the regularization parameter alpha is set to 0 in ridge regression, it means that there is no regularization being applied. In other words, the model will be the same as a linear regression model without any regularization.

main.py
from sklearn.linear_model import Ridge

# Create a Ridge regression model with alpha=0
ridge_reg = Ridge(alpha=0)

# Fit the model to the data
ridge_reg.fit(X, y)
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In the code above, Ridge(alpha=0) creates a Ridge regression model with alpha set to 0, effectively turning off the regularization.