User Dan Carter

45 votes

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How to use the output of GridSearch?

answered Aug 1, 2017 at 17:20

10 votes

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What's the difference between feature importance from Random Forest and Pearson correlation coefficient

answered Mar 21, 2019 at 14:16

8 votes

The right join for the right situation?

answered Feb 8, 2018 at 14:27

6 votes

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To remove Chinese characters as features -

answered Mar 6, 2019 at 16:27

4 votes

If my model is overfitting the training dataset, does adding noise to training dataset help regularizing the machine learning model

answered Nov 9, 2019 at 22:15

4 votes

Multi-label compute class weight - unhashable type

answered Feb 25, 2019 at 19:24

3 votes

Automated Hyperparameter tuning

answered Jan 26, 2018 at 11:48

3 votes

Binary Classifier making only one prediction

answered Jun 28, 2017 at 19:17

3 votes

Is Excel sufficient for data science?

answered Jul 6, 2017 at 22:23

3 votes

How to determine if my GBM model is overfitting?

answered Jul 6, 2017 at 22:31

3 votes

How to correctly apply the same data transformation , used on the training dataset , on real data in a webservice?

answered Mar 26, 2019 at 14:40

2 votes

Intro to Machine Learning

answered Jun 20, 2017 at 22:24

2 votes

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Best Programming Language for Data Science

answered Jun 21, 2017 at 23:04

2 votes

What could be the value of having a business analyst in a data science team?

answered Jun 22, 2017 at 11:16

2 votes

Predicting next adverse event based on previous events

answered Jun 28, 2017 at 23:01

2 votes

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Training on data with inherently non-applicable data cells

answered Feb 25, 2019 at 19:54

1 vote

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Best practice for developing using Spark

answered Feb 10, 2018 at 12:58

1 vote

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XGBoost: predictive, descriptive (or both) model?

answered Jan 29, 2018 at 18:48

1 vote

How do I compare traditional classifiers performance with my proposed method?

answered Jul 3, 2017 at 10:02

1 vote

Multivariable real time system for fraud detection

answered Feb 7, 2018 at 15:25

1 vote

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Apache Spark alternatives for local compute

answered Mar 8, 2019 at 14:19

1 vote

How do I approach learning Data Science/ML the 'rightest' way?

answered Mar 25, 2019 at 14:28

1 vote

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sklearn and pandas in AWS Lambda

answered Mar 25, 2019 at 16:43

0 votes

Identifying trend and seasonality of time series data

answered Jul 6, 2017 at 22:10

0 votes

Predicting probability of order arriving on or before customer Requested Delivery Date(RDD)

answered Feb 5, 2018 at 15:34

Stack Exchange Network

25 Answers

How to use the output of GridSearch?

What's the difference between feature importance from Random Forest and Pearson correlation coefficient

The right join for the right situation?

To remove Chinese characters as features -

If my model is overfitting the training dataset, does adding noise to training dataset help regularizing the machine learning model

Multi-label compute class weight - unhashable type

Automated Hyperparameter tuning

Binary Classifier making only one prediction

Is Excel sufficient for data science?

How to determine if my GBM model is overfitting?

How to correctly apply the same data transformation , used on the training dataset , on real data in a webservice?

Intro to Machine Learning

Best Programming Language for Data Science

What could be the value of having a business analyst in a data science team?

Predicting next adverse event based on previous events

Training on data with inherently non-applicable data cells

Best practice for developing using Spark

XGBoost: predictive, descriptive (or both) model?

How do I compare traditional classifiers performance with my proposed method?

Multivariable real time system for fraud detection

Apache Spark alternatives for local compute

How do I approach learning Data Science/ML the 'rightest' way?

sklearn and pandas in AWS Lambda

Identifying trend and seasonality of time series data

Predicting probability of order arriving on or before customer Requested Delivery Date(RDD)