User DaL

12 votes

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What is the difference between NLP and text mining?

answered Jan 20, 2016 at 6:56

12 votes

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Is feature selection necessary?

answered Jan 4, 2017 at 12:03

8 votes

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Is Overfitting a problem in Unsupervised learning?

answered Mar 16, 2017 at 15:11

8 votes

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Why don't tree ensembles require one-hot-encoding?

answered Apr 2, 2017 at 11:20

8 votes

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Why do we need to handle data imbalance?

answered Nov 6, 2017 at 6:48

6 votes

Stopwords for programming languages (for, while, print,...)

answered May 28, 2018 at 7:59

6 votes

Why do popular search engines not follow the usual AND, OR logic for queries?

answered Jan 11, 2017 at 7:28

6 votes

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How to start prediction from dataset?

answered Jun 15, 2016 at 7:09

6 votes

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feature selection techniques

answered Jun 27, 2016 at 5:42

6 votes

Should I go for a 'balanced' dataset or a 'representative' dataset?

answered Oct 28, 2015 at 7:47

5 votes

Perform classification on market basket analysis

answered Jan 28, 2016 at 6:22

5 votes

Signs there are too many class labels

answered Jul 6, 2016 at 5:28

5 votes

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Feature selection by overfitting a small sample size

answered Nov 14, 2017 at 7:44

4 votes

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Application of Machine learning or Neural Networks for automatic Time table scheduling

answered Mar 14, 2017 at 10:25

4 votes

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Which Outlier Detection Method? Why?

answered Feb 21, 2017 at 10:08

4 votes

NLP - Is Gazetteer a cheat?

answered Jan 27, 2016 at 8:33

4 votes

When should we consider a dataset as imbalanced?

answered May 17, 2016 at 10:50

4 votes

Sentiment Analysis: Creating dictionary from dataset

answered Feb 3, 2016 at 7:34

4 votes

Build a binary classifier with only positive and unlabeled data

answered Dec 7, 2015 at 7:08

4 votes

How big is big data?

answered Nov 4, 2015 at 8:11

4 votes

How to grow a list of related words based on initial keywords?

answered Nov 6, 2015 at 7:54

4 votes

Advantages of AUC vs standard accuracy

answered Nov 11, 2015 at 7:32

3 votes

How to find similarity/distance matrix with mixed Continuous and Categorical data?

answered Dec 15, 2015 at 7:26

3 votes

Dissmissing features based on correlation with target variable

answered Mar 13, 2016 at 12:41

3 votes

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Training data from different sources

answered Aug 15, 2016 at 6:56

3 votes

Is machine learning successful in solving combinatorial optimisation problems in NP-hard? Discuss problem of scheduling using machine learning

answered Oct 19, 2017 at 6:33

3 votes

Data balance -before or after feature selection/engineering

answered Oct 31, 2017 at 12:18

2 votes

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How to evaluate data capability to train a model?

answered Nov 2, 2017 at 7:02

2 votes

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What is PAC learning?

answered Oct 9, 2017 at 5:32

2 votes

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Why is sum a succinct constraint?

answered Feb 26, 2017 at 14:11

Stack Exchange Network

66 Answers

What is the difference between NLP and text mining?

Is feature selection necessary?

Is Overfitting a problem in Unsupervised learning?

Why don't tree ensembles require one-hot-encoding?

Why do we need to handle data imbalance?

Stopwords for programming languages (for, while, print,...)

Why do popular search engines not follow the usual AND, OR logic for queries?

How to start prediction from dataset?

feature selection techniques

Should I go for a 'balanced' dataset or a 'representative' dataset?

Perform classification on market basket analysis

Signs there are too many class labels

Feature selection by overfitting a small sample size

Application of Machine learning or Neural Networks for automatic Time table scheduling

Which Outlier Detection Method? Why?

NLP - Is Gazetteer a cheat?

When should we consider a dataset as imbalanced?

Sentiment Analysis: Creating dictionary from dataset

Build a binary classifier with only positive and unlabeled data

How big is big data?

How to grow a list of related words based on initial keywords?

Advantages of AUC vs standard accuracy

How to find similarity/distance matrix with mixed Continuous and Categorical data?

Dissmissing features based on correlation with target variable

Training data from different sources

Is machine learning successful in solving combinatorial optimisation problems in NP-hard? Discuss problem of scheduling using machine learning

Data balance -before or after feature selection/engineering

How to evaluate data capability to train a model?

What is PAC learning?

Why is sum a succinct constraint?