User Sandeep S. Sandhu

56 votes

Accepted

Does XGBoost handle multicollinearity by itself?

answered Jul 4, 2016 at 16:49

53 votes

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How to interpret the output of XGBoost importance?

answered Jul 4, 2016 at 15:22

20 votes

GBM vs XGBOOST? Key differences?

answered Feb 13, 2017 at 6:48

12 votes

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Machine Learning Best Practices for Big Dataset

answered Sep 8, 2016 at 5:30

10 votes

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What is the purpose of multiple neurons in a hidden layer?

answered Sep 16, 2016 at 2:10

8 votes

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Estimating Titan X graphics card impact on performance

answered Feb 23, 2017 at 17:33

8 votes

What is an inception layer?

answered Nov 4, 2017 at 7:21

6 votes

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feature importance via random forest and linear regression are different

answered Jun 23, 2016 at 19:49

4 votes

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How can the process of hypertuning of XGBoost parameters be automated?

answered Jun 29, 2016 at 18:11

4 votes

Predict the best time of call

answered Sep 21, 2016 at 10:03

3 votes

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How does QUEST compare to other decision tree algorithms?

answered Jun 28, 2016 at 7:00

3 votes

Convolutional Neural Networks in R

answered Jul 29, 2016 at 3:38

3 votes

One-hot encoding

answered Aug 5, 2016 at 9:02

3 votes

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Fixing data inconsistencies

answered May 9, 2016 at 6:27

2 votes

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Understanding ROCs in imbalanced data-sets

answered Jun 22, 2016 at 17:50

2 votes

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Random Forests with Big Data - number of trees v. number of observations

answered Jun 28, 2016 at 18:05

2 votes

Your Prediction Model works. What to do after?

answered Aug 29, 2016 at 7:47

1 vote

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Join two dataframes - Spark Mllib

answered Sep 19, 2016 at 7:04

1 vote

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Is a neural network suitable for this application

answered Sep 24, 2016 at 16:50

1 vote

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Failure tolerant factor coding

answered Dec 9, 2016 at 9:49

1 vote

What GPU specifications matter when training and using neural networks?

answered May 9, 2016 at 5:56

1 vote

How does xgboost work with linear booster?

answered Aug 18, 2016 at 10:54

1 vote

Accepted

Query regarding neural network model

answered Aug 24, 2016 at 9:15

1 vote

Is this cluster analysis / prediction?

answered Jun 23, 2016 at 10:48

1 vote

Estimating the battery capacity using current power consumption and battery percentage

answered May 9, 2016 at 6:48

1 vote

User identification using machine learning

answered Jun 26, 2016 at 6:59

0 votes

Accepted

If a time series has random time events, how to detect patterns?

answered Jun 26, 2016 at 10:21

0 votes

Feature importance for random forest classification of a sample

answered Jun 24, 2016 at 5:31

Stack Exchange Network

28 Answers

Does XGBoost handle multicollinearity by itself?

How to interpret the output of XGBoost importance?

GBM vs XGBOOST? Key differences?

Machine Learning Best Practices for Big Dataset

What is the purpose of multiple neurons in a hidden layer?

Estimating Titan X graphics card impact on performance

What is an inception layer?

feature importance via random forest and linear regression are different

How can the process of hypertuning of XGBoost parameters be automated?

Predict the best time of call

How does QUEST compare to other decision tree algorithms?

Convolutional Neural Networks in R

One-hot encoding

Fixing data inconsistencies

Understanding ROCs in imbalanced data-sets

Random Forests with Big Data - number of trees v. number of observations

Your Prediction Model works. What to do after?

Join two dataframes - Spark Mllib

Is a neural network suitable for this application

Failure tolerant factor coding

What GPU specifications matter when training and using neural networks?

How does xgboost work with linear booster?

Query regarding neural network model

Is this cluster analysis / prediction?

Estimating the battery capacity using current power consumption and battery percentage

User identification using machine learning

If a time series has random time events, how to detect patterns?

Feature importance for random forest classification of a sample