I came across something new which I knew only sklearn used in statistical analysis just briefly. But there seems to have a given format for linear regression and logistic regression which analysis your given data frame. I would really appreciate if someone can explain me how this was created.

as the same has been used in the below notebook screenshot

I went through the link provided in the notebook which was really great seeing how all the plots created together, which tickled my mind to know the thought process behind this creative model as in R programming we had select a plot type for the data to be interpreted but this model will just create a complete regression analysis based on your data, which is just like wow.

Would appreciate anyone who could explain little more briefly about this (some pointer I understood)

LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,

intercept_scaling=1, max_iter=100, multi_class=‘ovr’, n_jobs=1,

penalty=‘l2’, random_state=None, solver=‘lbfgs’, tol=0.0001,

verbose=0, warm_start=False)

Thanking you in advance

Regards

DP