Hi, I'm trying to use scikit learn, and doing my best to correlate with the functions and the formulas i've learn't in the ml-class by Andrew Ng.
I am able to apply the scikit learn functions to machine learning problems in kaggle(beginner level) ,but i really don't know what i am doing, i'm just copy pasting a few things in the doc examples without really knowing how its parameters are controlling the method i apply. like this one
LogisticRegression(C=1.0,dual=False,fit_intercept=True,intercept_scaling=1,penalty='l2', scale_C=False, tol=0.0001) i really don't know what C,dual,intercept_scaling,penalty,scale_C,tol actually mean. All i understand is that i am applying logistic regression.
Its really appreciated if any can help list a good book or a website to learn scikit and understand it better and know what the parameters are doing etc...
PS: As you can see i'm a complete beginner .i've tried reading docs of scikit but they look completely cryptic to me any other advice or tips are better. Thanks.
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