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lpounng
  • Member for 3 years, 1 month
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5 votes

How are parameters selected in cross-validation?

4 votes

Differentiable vs Non Differentiable loss function in ML

3 votes

Is it valid changing the classification treshold of neural networks for improving the classification performance?

3 votes

Dropping dataframe columns with missing values

3 votes

Why Do a Set of 3 Clusters Across 1 Dimension and a Set of 3 Clusters Across 2 Dimensions Form 9 Apparent Clusters in 3 Dimensions?

2 votes

Normalizing data from same variable but different individuals

2 votes

How to verify if the behavior of CNN model is correct?

2 votes
Accepted

Can depth be used as a feature when predicting rock type from well log data?

2 votes

By what mechanism would a convolutional network identify features across an image?

2 votes

How to remove dataset line inside sklearn Pipeline

2 votes

How can someone build a dataset for a "propensity to purchase" model?

2 votes

Dealing with outliers

2 votes

How can I identify combination that provides the sweetest juice to me?

2 votes
Accepted

Distilling a Random Forest to a single DecisionTree, does it make sense?

1 vote
Accepted

Dimension reduction of Word Embeddings: PCA vs. TSNE

1 vote

What should I Improve from my Neural Network Model (Logistic Regression)

1 vote

How to reduce the false positives to improve the models performance?

1 vote
Accepted

How to handle date columns in a dataset with over 100+ date columns?

1 vote

9-dimensional data classification

1 vote

eval_metric of XGBoost // ML model in general

1 vote

Feature importance score for a feature that contains mostly 0's in XGBoost

1 vote

What information is lost due to normalization?

1 vote

what is a random prediction for class imbalanced data? How can I check if my model is predicting randomly?

1 vote

Clustering with a "catchall" cluster

1 vote
Accepted

Adding new model to ensemble without fitting again

1 vote

Сan a subset of features perform better than the base set?

1 vote
Accepted

Why do we need hyperparameter tuning in Scikit learn? Doesn't sk learn models by default give best model?

1 vote
Accepted

Why do residuals of linear regression model need to be normally distributed?

1 vote

Dealing with only categorical features dataset

1 vote

Google NLP AutoML