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View Code? Open in Web Editor NEWThis repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
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Ch2 Conceptual Questions - Ex 7(d)'s answer is wrong?
In the Conceptual Questions, is the exercise 7(d) 's answer wrong? According to Page 41, Figure 2.6 shows that lower K can fit highly non-linear boundary. So the correct anwser should be small, shouldn't it?
I'm new to ML, maybe I'm wrong, but that's my question.
Chapter 2, Exercise 2 - p should be reduced by 1
First of all, thanks for sharing the repo!
In chapter 2, exercise 2, p should be lower by 1. For example, in part a, p should be 3, not 4. There are only three predictors, the fourth variable is the outcome variable.
Proportion of Students is Wrong
Hi, loving this repo by the way! Thank you.
I saw based on the question, I believe your script here is not taking the proportion.
It should be:
df['Elite'] = np.where((df.Top10perc/df.Enroll) > .50, 1, 0)
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