User Outcast

12 votes

4 answers

11k views

Neural networks - Find most similar images

asked Feb 14, 2018 at 12:33

10 votes

3 answers

6k views

Data scaling before or after PCA

asked Jul 25, 2018 at 13:50

6 votes

2 answers

2k views

Metrics to evaluate features' importance in classification problem (with random forest)

asked Aug 30, 2018 at 14:21

6 votes

2 answers

15k views

Xgboost performs significantly worse than Random Forest

asked Sep 20, 2018 at 12:44

6 votes

3 answers

3k views

Regression vs Random Forest - Combination of features

asked Mar 31, 2019 at 14:28

4 votes

2 answers

2k views

Is SVD non-linear while PCA (by eigendecompostion) is linear?

asked Oct 26, 2018 at 9:48

4 votes

4 answers

3k views

Are there any good NLP APIs for comparing strings in terms of semantic similarity?

asked Apr 19, 2018 at 9:07

3 votes

1 answer

1k views

Are there any very good APIs for matching similar images?

asked May 10, 2018 at 12:14

3 votes

1 answer

1k views

How to run PCA and KNN on big-data

asked Feb 20, 2018 at 12:48

3 votes

2 answers

137 views

When to model a problem by using the Bayes' theorem?

asked Jul 13, 2018 at 15:05

3 votes

0 answers

453 views

Shuffling the training data for machine learning models [closed]

asked Oct 24, 2018 at 14:04

3 votes

1 answer

442 views

TF-IDF vs TF for classification

asked May 30, 2019 at 17:17

3 votes

2 answers

2k views

How label smoothing and label flipping increases the performance of a machine learning model

asked Jul 9, 2019 at 11:18

3 votes

1 answer

2k views

Transform multi-label problem to multi-class problem

asked Jul 22, 2019 at 16:21

3 votes

1 answer

456 views

Encode missing data and unseen data

asked Sep 12, 2019 at 11:05

3 votes

2 answers

760 views

Splitting a pdf containing batch of scanned documents

asked Oct 9, 2019 at 13:08

2 votes

0 answers

440 views

Inductive vs Transductive Learning

asked Jul 22, 2019 at 13:11

2 votes

2 answers

64 views

Multicolinearity & accurate weights of predictors

asked Mar 7, 2019 at 9:51

2 votes

1 answer

43 views

Group-by correlation vs All observations correlation

asked Jun 4, 2019 at 14:42

2 votes

1 answer

3k views

What is the difference between RandomForestClassifier and XGBRFClassifier?

asked Feb 3, 2022 at 13:52

2 votes

1 answer

117 views

Is PCA (by eigendecomposition) or SVD better in decorrelating the predictors of a machine learning model?

asked Oct 25, 2018 at 16:03

2 votes

2 answers

10k views

How to run a python script on GCP Compute Engine?

asked Feb 1, 2018 at 17:45

2 votes

1 answer

44 views

Select more or less features if results are almost the same

asked Sep 16, 2018 at 19:31

2 votes

1 answer

69 views

Same predictors in test set but I want different outputs

asked Jul 11, 2018 at 19:41

1 vote

1 answer

643 views

Deep Learning - Find most similar images - Triplets vs Pairs

asked Feb 23, 2018 at 11:42

1 vote

0 answers

26 views

Daily-level variables and weekly-level variables at the same model

asked Jan 9, 2019 at 20:40

1 vote

1 answer

49 views

Fewer observations & larger documents vs More observations & smaller documents

asked May 30, 2019 at 17:25

1 vote

1 answer

85 views

Split large documents into many smaller ones?

asked May 30, 2019 at 17:53

1 vote

1 answer

134 views

Unseen classes - 'Other' class or classifying based on the existing classes

asked May 31, 2019 at 15:40

1 vote

2 answers

265 views

Training model on a Balanced vs Imbalanced dataset?

asked Dec 12, 2019 at 14:30

Stack Exchange Network

33 Questions

Neural networks - Find most similar images

Data scaling before or after PCA

Metrics to evaluate features' importance in classification problem (with random forest)

Xgboost performs significantly worse than Random Forest

Regression vs Random Forest - Combination of features

Is SVD non-linear while PCA (by eigendecompostion) is linear?

Are there any good NLP APIs for comparing strings in terms of semantic similarity?

Are there any very good APIs for matching similar images?

How to run PCA and KNN on big-data

When to model a problem by using the Bayes' theorem?

Shuffling the training data for machine learning models [closed]

TF-IDF vs TF for classification

How label smoothing and label flipping increases the performance of a machine learning model

Transform multi-label problem to multi-class problem

Encode missing data and unseen data

Splitting a pdf containing batch of scanned documents

Inductive vs Transductive Learning

Multicolinearity & accurate weights of predictors

Group-by correlation vs All observations correlation

What is the difference between RandomForestClassifier and XGBRFClassifier?

Is PCA (by eigendecomposition) or SVD better in decorrelating the predictors of a machine learning model?

How to run a python script on GCP Compute Engine?

Select more or less features if results are almost the same

Same predictors in test set but I want different outputs

Deep Learning - Find most similar images - Triplets vs Pairs

Daily-level variables and weekly-level variables at the same model

Fewer observations & larger documents vs More observations & smaller documents

Split large documents into many smaller ones?

Unseen classes - 'Other' class or classifying based on the existing classes

Training model on a Balanced vs Imbalanced dataset?