User spectre

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How to start working on Data Science Projects

answered Dec 21, 2021 at 7:19

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Cost Efficient Machine Learning Development Using Cloud GPUs

answered Dec 24, 2021 at 8:02

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can training for too long lead to overfitting? I am not sure about the specifics of this

answered May 13 at 11:45

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which Keras accuracy metric for multiclass classification

answered May 14 at 5:37

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How to solve MemoryError problem

answered May 15, 2022 at 5:12

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Performing EDA on a dataset with missing features

answered May 15, 2022 at 5:32

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Which machine learning models allow online training and which don't?

answered Jun 4, 2022 at 4:10

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Subsampling the “right” amout of data to train an ML model

answered Jun 4, 2022 at 4:20

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Dimension error when tuning LSTM layer

answered Jan 26, 2022 at 10:25

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How to do Data acquistion focused on improving accuracy on hold-out test set?

answered Jan 28, 2022 at 10:03

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could not convert string to float: 'YELLOW'

answered May 5, 2022 at 12:47

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NameError: name 'librosa' is not defined

answered May 5, 2022 at 12:54

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How to get sentiment score for a word in a given dataset

answered May 15, 2022 at 5:08

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MY lstm has a really low accuracy, is there anyway to improve it?

answered Jan 19, 2022 at 15:32

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Way to encode UserID column when training DNN?

answered Jan 20, 2022 at 8:24

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How do I predict a class for each time step using the information from previous timsteps

answered Jan 24, 2022 at 5:13

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GridSearch CV: Suitable scoring metrics for Imbalanced data sets

answered Nov 14, 2022 at 7:26

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Is there a point in hyperparameter tuning for Random Forests?

answered May 14 at 5:53

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Using BERT to extract a list of words and phrases from documents

answered May 25 at 5:48

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Can I leave natural outliers in a dataset in training?

answered Dec 24, 2021 at 14:23

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Handling encoding of a dataset which has more than total 2000 columns

answered Dec 25, 2021 at 14:25

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Strange Behavior for trying to Predict Tennis Millionaires with Keras (Validation Accuracy)

answered Dec 27, 2021 at 7:26

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How to deal with name strings in large data sets for ML?

answered Dec 21, 2021 at 17:21

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Worse performance after Hyperparameter tuning

answered Dec 22, 2021 at 9:45

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Given is the result of the model performance. Help me with this MCQ

answered Dec 22, 2021 at 9:54

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Interpretation of learning curve - neural network

answered Dec 16, 2021 at 4:44

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validation/test set uniqueness question

answered Dec 17, 2021 at 7:47

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What are some general tips to improve my MNIST classifier?

answered Dec 20, 2021 at 9:06

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Optimizing decision tree

answered Oct 24 at 15:52

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What is the best solution to replace NaN values?

answered Aug 25 at 5:50

Stack Exchange Network

139 Answers

How to start working on Data Science Projects

Cost Efficient Machine Learning Development Using Cloud GPUs

can training for too long lead to overfitting? I am not sure about the specifics of this

which Keras accuracy metric for multiclass classification

How to solve MemoryError problem

Performing EDA on a dataset with missing features

Which machine learning models allow online training and which don't?

Subsampling the “right” amout of data to train an ML model

Dimension error when tuning LSTM layer

How to do Data acquistion focused on improving accuracy on hold-out test set?

could not convert string to float: 'YELLOW'

NameError: name 'librosa' is not defined

How to get sentiment score for a word in a given dataset

MY lstm has a really low accuracy, is there anyway to improve it?

Way to encode UserID column when training DNN?

How do I predict a class for each time step using the information from previous timsteps

GridSearch CV: Suitable scoring metrics for Imbalanced data sets

Is there a point in hyperparameter tuning for Random Forests?

Using BERT to extract a list of words and phrases from documents

Can I leave natural outliers in a dataset in training?

Handling encoding of a dataset which has more than total 2000 columns

Strange Behavior for trying to Predict Tennis Millionaires with Keras (Validation Accuracy)

How to deal with name strings in large data sets for ML?

Worse performance after Hyperparameter tuning

Given is the result of the model performance. Help me with this MCQ

Interpretation of learning curve - neural network

validation/test set uniqueness question

What are some general tips to improve my MNIST classifier?

Optimizing decision tree

What is the best solution to replace NaN values?