User jncraton

10 votes

Accepted

How can I dynamically distinguish between categorical data and numerical data?

answered Jan 21, 2016 at 22:25

7 votes

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Difference between paragraph2vec and doc2vec

answered Feb 23, 2017 at 19:24

7 votes

GridSearch without CV

answered Jan 9, 2020 at 20:36

3 votes

Running sklearn trained classifier in a windows machine without Python

answered Apr 3, 2017 at 20:55

3 votes

Is there a difference in scraping across different web browsers?

answered Mar 2, 2017 at 16:15

2 votes

Multiple testing of unbalanced data by R

answered Mar 1, 2017 at 22:28

2 votes

Accepted

How to collect info about unseen bugs given user's comments/feedbacks?

answered Nov 21, 2020 at 2:01

2 votes

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How can I know how to interpret the output coefficients (`coefs_`) from the model sklearn.svm.LinearSVC()?

answered Mar 30, 2017 at 2:45

1 vote

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Can I perform a Logistic regression on this data?

answered May 19, 2022 at 17:54

1 vote

How to print out to a file using Standford Classifier

answered Apr 20, 2017 at 15:46

0 votes

How to combine nlp and numeric data for a linear regression problem

answered Aug 19, 2019 at 0:07

0 votes

Extract 2 pieces of information from a string - what to use?

answered Mar 6, 2017 at 16:14

0 votes

I want to add demographic data to a data set. Any suggestions on where to find zip code level data?

answered Mar 30, 2017 at 1:37

Stack Exchange Network

13 Answers

How can I dynamically distinguish between categorical data and numerical data?

Difference between paragraph2vec and doc2vec

GridSearch without CV

Running sklearn trained classifier in a windows machine without Python

Is there a difference in scraping across different web browsers?

Multiple testing of unbalanced data by R

How to collect info about unseen bugs given user's comments/feedbacks?

How can I know how to interpret the output coefficients (`coefs_`) from the model sklearn.svm.LinearSVC()?

Can I perform a Logistic regression on this data?

How to print out to a file using Standford Classifier

How to combine nlp and numeric data for a linear regression problem

Extract 2 pieces of information from a string - what to use?

I want to add demographic data to a data set. Any suggestions on where to find zip code level data?