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mathgeek
  • Member for 10 months
  • Last seen more than a month ago
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All Questions Answers
Score Newest
question
9
Can any data be learned using polynomial logistic regression
Oct 26, 2021
question
6
How is the relationship between two variables $X$ and $Y$ supposed to "explain" $R^2\text%$ of the variation of the data?
Sep 28, 2021
question
5
Why do you need non-linear regression if you can use a linear one to fit any kind of curvature to your data?
Oct 2, 2021
question
4
Here's why you can (hopefully) use $R^2$ for non-linear models. Why not?
Oct 11, 2021
answer
4
What does correlation formula really tell you?
Oct 30, 2021
question
2
The reason (and intuition) behind why stochastic gradient descent can get stuck on a local minimum
Oct 4, 2021
question
2
(Soft question) Is one hot encoding preferable only in models where you multliply the feature by some coefficient?
Oct 7, 2021
question
2
What does correlation formula really tell you?
Oct 30, 2021
question
2
Why not always use Polynomial Regression to solve classification problems? [closed]
Nov 11, 2021
question
1
Why to calculate $\mathbf{weighted}$ average of the leaf node impurities in decision trees? Why not to just add entropies up without weights?
Oct 14, 2021
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46
What does Big O actually tell you?
10
(conceptual question) What kind of minima do we expect stochastic gradient descent to get stuck on and why?
9
Why does .loc assignment with two sets of brackets result in NaN in a pandas.DataFrame?
7
Why to calculate "Big O" if we can just calculate number of steps?
7
What does the word "scalability" mean in terms of Big O?

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