User 20-roso

3 votes

How to convert regression into classification?

answered Jul 29, 2020 at 12:37

3 votes

BIO tagging software

answered Jul 31, 2020 at 20:04

3 votes

NLP SBert (Bert) for answer comparison STS

answered Aug 20, 2020 at 16:14

2 votes

Accepted

Can we use sentence transformers to embed sentences without labels?

answered Aug 25, 2020 at 15:49

2 votes

How to deal with a skewed data-set having all the samples almost similar?

answered Nov 13, 2016 at 22:09

2 votes

Accepted

Comparing SMOTE to down sampling the majority class in imbalanced binary classification

answered Nov 13, 2016 at 22:40

2 votes

Alternatives to imputation of missing values?

answered May 25, 2018 at 15:35

2 votes

Train, test split of unbalanced dataset classification

answered Jun 8, 2018 at 12:06

2 votes

How to choose solution - Neural Neworks or Scikit-Learn/Numpy/Pandas?

answered Oct 10, 2019 at 17:21

2 votes

Weighing each label in multi-label classification

answered Oct 14, 2019 at 15:50

1 vote

How to resolve country and nationality entities?

answered Oct 14, 2019 at 21:37

1 vote

Class Imbalance and Cost-Sensitive Learning XGBoost

answered Oct 14, 2019 at 21:50

1 vote

Custom POS tags with SpaCy for NER

answered Oct 10, 2019 at 17:41

1 vote

Format for proposing a new algorithmic project?

answered Aug 13, 2018 at 15:56

1 vote

A few questions to understand a random forest blog

answered Dec 5, 2018 at 21:32

1 vote

unbalanced data classification

answered Nov 13, 2016 at 23:03

1 vote

Probability for label correctness in semi-supervised learning

answered Jun 9, 2017 at 16:21

1 vote

Are there ML Libs in Python robust to missing data?

answered Apr 7, 2021 at 10:32

1 vote

How to properly use oversampling without inflating results?

answered Apr 7, 2021 at 21:17

1 vote

Do we have any method which handles the imbalanced classification with sample weighting instead of class weighting?

answered Apr 7, 2021 at 21:32

1 vote

Addressing polysemy in NLP tasks

answered Apr 13, 2021 at 17:23

1 vote

How to evaluate Natural Question-Answer Generation pairs?

answered Dec 10, 2022 at 15:13

1 vote

NLP SBert (Bert) for answer comparison STS

answered Aug 20, 2020 at 19:30

1 vote

Aggregate several attributes into one using PCA

answered Oct 11, 2019 at 13:32

0 votes

Predicting churn - deal with missing dates in time series and improve modelling result

answered Oct 11, 2019 at 16:27

0 votes

How can I do a train test split for an unbalanced panel data set in Python?

answered Jul 31, 2020 at 19:50

0 votes

how to train custom word2vec embeddings to find related articles?

answered Aug 5, 2020 at 11:15

0 votes

Determining whether a sentence is "cliche" using NLP

answered Apr 7, 2021 at 10:17

0 votes

Using Machine Learning to create marketing segments

answered Jun 15, 2017 at 16:17

0 votes

Automatic legal document reviewing advice

answered Dec 6, 2018 at 20:39

Stack Exchange Network

36 Answers

How to convert regression into classification?

BIO tagging software

NLP SBert (Bert) for answer comparison STS

Can we use sentence transformers to embed sentences without labels?

How to deal with a skewed data-set having all the samples almost similar?

Comparing SMOTE to down sampling the majority class in imbalanced binary classification

Alternatives to imputation of missing values?

Train, test split of unbalanced dataset classification

How to choose solution - Neural Neworks or Scikit-Learn/Numpy/Pandas?

Weighing each label in multi-label classification

How to resolve country and nationality entities?

Class Imbalance and Cost-Sensitive Learning XGBoost

Custom POS tags with SpaCy for NER

Format for proposing a new algorithmic project?

A few questions to understand a random forest blog

unbalanced data classification

Probability for label correctness in semi-supervised learning

Are there ML Libs in Python robust to missing data?

How to properly use oversampling without inflating results?

Do we have any method which handles the imbalanced classification with sample weighting instead of class weighting?

Addressing polysemy in NLP tasks

How to evaluate Natural Question-Answer Generation pairs?

NLP SBert (Bert) for answer comparison STS

Aggregate several attributes into one using PCA

Predicting churn - deal with missing dates in time series and improve modelling result

How can I do a train test split for an unbalanced panel data set in Python?

how to train custom word2vec embeddings to find related articles?

Determining whether a sentence is "cliche" using NLP

Using Machine Learning to create marketing segments

Automatic legal document reviewing advice