Dear Scikit-learn, What are some good ways and resources to learn Python for data analysis?
I am extremely frustrated using this thing. Everything comes after a dot! Why would you type the sam thing at the beginning of every line. It's not efficient. code 1: y_sin = np.sin(x) y_cos = np.cos(x) I know you can import the entire package without the "as np", but I see np.something as the standard. Why? Code 2: model = LogisticRegression() model.fit(X_train, y_train) model.score(X_test, y_test) In R, everything is saved to a variable. In the code above, what if I accidentally ran model.fit(), I would not know. Code 3: from sklearn import linear_model reg = linear_model.Ridge (alpha = .5) reg.fit ([[0, 0], [0, 0], [1, 1]], [0, .1, 1]) In the code above, sklearn > linear_model > Ridge, one lives inside the other, it feels that there are multiple layer, how deep do I have to dig in? Can someone explain the mentality behind this setup? Thank you very much! M
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
