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user49422
  • Member for 7 years, 11 months
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370 votes
7 answers
1.5m views

How to normalize data to 0-1 range?

  • 4,071
162 votes
3 answers
172k views

Gradient Boosting Tree vs Random Forest

  • 1,923
129 votes
5 answers
75k views

How does a Support Vector Machine (SVM) work?

  • 7,329
76 votes
1 answer
73k views

Understanding ROC curve

  • 965
56 votes
8 answers
47k views

R libraries for deep learning

  • 22.4k
30 votes
4 answers
22k views

R packages for performing topic modeling / LDA: just `topicmodels` and `lda` [closed]

  • 2,637
21 votes
2 answers
109k views

How to use weights in function lm in R?

  • 575
14 votes
1 answer
25k views

Assign weights to variables in cluster analysis

  • 553
9 votes
3 answers
54k views

How to change column names in data frame in R? [closed]

  • 199
8 votes
2 answers
19k views

Running an R script line-by-line

  • 1,351
8 votes
2 answers
15k views

Categorical response variable prediction

  • 4,722
8 votes
2 answers
9k views

Does party package in R provide out-of-bag estimates of error for Random Forest models?

  • 83
8 votes
2 answers
8k views

Why do I get same results for OLS and GLS in R?

  • 2,459
4 votes
2 answers
27k views

how to detect outliers from residual plot?

  • 843
4 votes
1 answer
3k views

Logistic Regression on very rare events - R

2 votes
2 answers
17k views

How to conduct a multilevel (hierarchical) binary logistic regression (in SPSS, R, or other software)?

  • 1,136
2 votes
1 answer
4k views

In xgboost: how can I know if a variable has a negative or positive impact on probability of event

  • 183
1 vote
1 answer
4k views

Understanding results of xgboost, parameter tuning [closed]

1 vote
1 answer
5k views

Applying randomforest algorithm (fit) on new data without recomputing the fit [closed]

0 votes
0 answers
126 views

How to calculate logistic regression prediction based on Gaussian distribution

  • 183
0 votes
1 answer
711 views

How can I correct a negative tendency of residuals?

  • 183
-1 votes
1 answer
2k views

How to do linear regression prediction for each level of a category variable and apply it on a new data frame

  • 183