User HEITZ

9 votes

Accepted

Pros/Cons of stop word removal?

answered Apr 30, 2018 at 19:03

7 votes

Predict the best time of call

answered Sep 22, 2016 at 22:36

6 votes

How much data are sufficient to train my machine learning model?

answered Jun 26, 2017 at 23:39

3 votes

What is the difference between data singular and data plural ?

answered Feb 15, 2018 at 23:35

3 votes

Accepted

Would it make a difference to clean the data before using R findCorrelation()?

answered Oct 18, 2016 at 23:04

3 votes

Do modern R and/or Python libraries make SQL obsolete?

answered Feb 24, 2017 at 23:18

2 votes

How to get started?

answered Dec 5, 2017 at 6:05

2 votes

can I say that my variable is "approximately" normally distributed?

answered Mar 27, 2018 at 21:27

2 votes

Filling in missing values

answered Mar 27, 2018 at 22:06

2 votes

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predict() function in R

answered Apr 10, 2018 at 22:15

2 votes

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Size of folds in k-fold cross-validation

answered Apr 23, 2018 at 22:37

2 votes

The differences between SVM and Logistic Regression

answered May 9, 2018 at 21:46

2 votes

How to convert night image to day image?

answered May 9, 2018 at 21:50

2 votes

How to decide optimal threshold for my classification model from FPR, TPR and threshold

answered Sep 20, 2018 at 21:05

2 votes

Generating random numbers from best probability distributions?

answered Dec 5, 2019 at 7:54

1 vote

Multi-label classification based on single-label dataset

answered Dec 19, 2019 at 7:01

1 vote

How to yield better AUC score?

answered Dec 19, 2019 at 7:09

1 vote

Math behind L2 Regularization for Logistic Regression

answered Jan 30, 2018 at 22:42

1 vote

How to predict weather?

answered Sep 20, 2018 at 21:16

1 vote

What do neural networks learn first?

answered Oct 8, 2018 at 22:22

1 vote

Accepted

When should we start using stacking of models?

answered Dec 4, 2019 at 5:09

1 vote

Machine Learning Design Document

answered May 11, 2018 at 4:28

1 vote

Validation accuracy for neural network

answered Mar 27, 2018 at 21:58

1 vote

Accepted

ROC curve for different hyperparameters of `RandomForestClassifier`?

answered Dec 9, 2017 at 7:38

1 vote

How to detect anomalous points

answered Dec 14, 2017 at 3:23

1 vote

Detecting Different Distributions in data

answered Jul 26, 2017 at 21:39

1 vote

Accepted

Difference Between Feature Engineering and Feature Learning

answered Aug 9, 2017 at 22:11

1 vote

how to compare two groups

answered Aug 17, 2017 at 21:08

1 vote

Low Kappa score but high accuracy

answered Nov 5, 2017 at 18:49

1 vote

Why is the dimensionality reduction and/or feature selection techniques are considered to be not always effective?

answered Dec 1, 2017 at 22:03

Stack Exchange Network

42 Answers

Pros/Cons of stop word removal?

Predict the best time of call

How much data are sufficient to train my machine learning model?

What is the difference between data singular and data plural ?

Would it make a difference to clean the data before using R findCorrelation()?

Do modern R and/or Python libraries make SQL obsolete?

How to get started?

can I say that my variable is "approximately" normally distributed?

Filling in missing values

predict() function in R

Size of folds in k-fold cross-validation

The differences between SVM and Logistic Regression

How to convert night image to day image?

How to decide optimal threshold for my classification model from FPR, TPR and threshold

Generating random numbers from best probability distributions?

Multi-label classification based on single-label dataset

How to yield better AUC score?

Math behind L2 Regularization for Logistic Regression

How to predict weather?

What do neural networks learn first?

When should we start using stacking of models?

Machine Learning Design Document

Validation accuracy for neural network

ROC curve for different hyperparameters of `RandomForestClassifier`?

How to detect anomalous points

Detecting Different Distributions in data

Difference Between Feature Engineering and Feature Learning

how to compare two groups

Low Kappa score but high accuracy

Why is the dimensionality reduction and/or feature selection techniques are considered to be not always effective?