User wacax

43 votes

xgboost: give more importance to recent samples

answered Dec 23, 2015 at 0:38

42 votes

Accepted

Hypertuning XGBoost parameters

answered Dec 14, 2015 at 2:02

34 votes

Accepted

How to prepare/augment images for neural network?

answered Dec 5, 2015 at 20:18

14 votes

Accepted

Purpose of visualizing high dimensional data?

answered Dec 1, 2015 at 22:05

13 votes

Accepted

Why should we use (or not) dropout on the input layer?

answered Sep 19, 2018 at 20:57

10 votes

Accepted

Ratio between embedded vector dimensions and vocabulary size

answered May 2, 2018 at 17:01

10 votes

Accepted

Should I rescale tfidf features?

answered Dec 23, 2018 at 0:13

10 votes

Is there any domain where Spiking Neural Networks outperform other algorithms (non-spiking)?

answered May 1, 2016 at 3:38

6 votes

Keras neural network entirely different results on two different hardwares (one is AWS)

answered Dec 21, 2018 at 19:05

5 votes

How to normalize data without knowing the min and max values?

answered Mar 25, 2020 at 21:34

4 votes

Accepted

Not enough memory for operations with Pandas

answered Aug 14, 2020 at 16:04

4 votes

Accepted

Is there any implementation of Extended Isolation Forest algorithm in R/Python?

answered Dec 31, 2018 at 12:40

3 votes

Accepted

What's The Difference Between The Terms Predictor And Feature

answered Dec 20, 2018 at 17:17

3 votes

Accepted

Dummy coding a column in R with multiple levels

answered May 3, 2016 at 3:52

3 votes

What are the best ways to tune multiple parameters?

answered Dec 5, 2015 at 5:53

3 votes

Accepted

Web services to mine the social web?

answered Dec 10, 2015 at 15:48

3 votes

Accepted

Code Vectorization of gsub in R

answered Dec 19, 2015 at 18:42

2 votes

Accepted

Domain-specific data science programs

answered Sep 27, 2015 at 5:24

2 votes

How do I setup a server in the cloud for machine learning?

answered Sep 27, 2015 at 16:18

2 votes

Accepted

What's a good machine learning algorithm for low frequency trading?

answered Jan 28, 2016 at 14:34

2 votes

Accepted

What should be the ratio of True vs False cases in a binary classifier dataset?

answered Apr 21, 2018 at 22:40

2 votes

How Do I Find the Matthews Correlation Coefficient (MCC) in Python?

answered Dec 24, 2018 at 13:25

2 votes

Accepted

Financial Time Series data normalization

answered Dec 27, 2018 at 16:21

1 vote

How to extract keywords from a list of URLs?

answered Nov 26, 2019 at 20:53

1 vote

Tagging Unix/Non-Unix logs using NLP

answered Dec 21, 2018 at 20:01

1 vote

Accepted

Visualizing software metrics

answered Apr 2, 2018 at 1:25

1 vote

What are the online platforms that cater to freelance data scientists looking for work?

answered May 15, 2018 at 20:36

1 vote

How to merge personalized models together

answered Dec 20, 2018 at 14:56

1 vote

Can LSTM Predict The Next Few Days Of Stock Price?

answered Dec 20, 2018 at 15:52

1 vote

Cosine similarity or logistic regression for spam filtering

answered Apr 19, 2016 at 19:00

Stack Exchange Network

42 Answers

xgboost: give more importance to recent samples

Hypertuning XGBoost parameters

How to prepare/augment images for neural network?

Purpose of visualizing high dimensional data?

Why should we use (or not) dropout on the input layer?

Ratio between embedded vector dimensions and vocabulary size

Should I rescale tfidf features?

Is there any domain where Spiking Neural Networks outperform other algorithms (non-spiking)?

Keras neural network entirely different results on two different hardwares (one is AWS)

How to normalize data without knowing the min and max values?

Not enough memory for operations with Pandas

Is there any implementation of Extended Isolation Forest algorithm in R/Python?

What's The Difference Between The Terms Predictor And Feature

Dummy coding a column in R with multiple levels

What are the best ways to tune multiple parameters?

Web services to mine the social web?

Code Vectorization of gsub in R

Domain-specific data science programs

How do I setup a server in the cloud for machine learning?

What's a good machine learning algorithm for low frequency trading?

What should be the ratio of True vs False cases in a binary classifier dataset?

How Do I Find the Matthews Correlation Coefficient (MCC) in Python?

Financial Time Series data normalization

How to extract keywords from a list of URLs?

Tagging Unix/Non-Unix logs using NLP

Visualizing software metrics

What are the online platforms that cater to freelance data scientists looking for work?

How to merge personalized models together

Can LSTM Predict The Next Few Days Of Stock Price?

Cosine similarity or logistic regression for spam filtering