Hottest Questions This Week

4

votes

3

answers

82

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Loading collections of datasets - Python code examples

dataset

answered Oct 22 at 2:48 Farid 46

1

vote

3

answers

40

views

Time series classification, without the time dimension

classification time-series

modified Oct 20 at 23:55 Astariul 619

5

votes

2

answers

57

views

How can data science teams inside businesses measure costs and efficiency of their technical work?

data-analysis

modified Oct 21 at 12:27 desertnaut 1,038

1

vote

2

answers

47

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Loss function in GradientBoostingRegressor

machine-learning scikit-learn loss-function terminology gbm

modified 2 days ago desertnaut 1,038

0

votes

1

answer

68

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Custom loss function with both min(y, p) and max(y,p)

tensorflow loss-function

modified Oct 21 at 19:37 Javier TG 270

3

votes

1

answer

51

views

What does n means in neural network neuron output?

machine-learning neural-network perceptron

answered Oct 19 at 21:07 Fei Yan 168

1

vote

2

answers

58

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how do I predict the next's alarms ? (time series) [closed]

machine-learning time-series prediction forecasting

modified Oct 20 at 14:10 Valdemar sousa 19

3

votes

2

answers

34

views

Dealing with highly variable feature set size

neural-network classification feature-engineering feature-extraction

answered Oct 22 at 0:25 Erwan 9,381

-1

votes

2

answers

41

views

How to deal with nan values after merging / joining two dataframes? [closed]

dataset pandas data-cleaning data-engineering

modified 2 days ago hH1sG0n3 405

0

votes

1

answer

40

views

Softmax regression cost function code [closed]

machine-learning multilabel-classification scipy softmax sparse

answered Oct 19 at 18:40 Mikedev 11

1

vote

1

answer

50

views

What does this formula in Glorot & Bengio mean?

deep-learning

modified 20 hours ago Javier TG 270

0

votes

1

answer

33

views

Correctness of a ROC Curve

python scikit-learn decision-trees implementation roc

modified yesterday Oliver Foster 587

0

votes

1

answer

32

views

How to choose between Tensorflow and Pytorch?

python scikit-learn tensorflow pytorch jupyter

modified Oct 20 at 10:12 ncasas 7,535

1

vote

2

answers

24

views

How much data do you need to build a classifier?

machine-learning classification logistic-regression svm naive-bayes-classifier

answered 2 days ago Erwan 9,381

2

votes

1

answer

22

views

Why is it okay to set the bias vector up with zeros, and not the weight matrices?

neural-network deep-learning backpropagation bias weight-initialization

modified Oct 22 at 23:37 lcrmorin 1,533

2

votes

2

answers

27

views

Why is large decision tree likely to overfit

decision-trees overfitting

answered Oct 20 at 9:33 Mikedev 11

0

votes

1

answer

26

views

Scaling of variables considering the values of a single column or the whole dataset

python normalization

modified Oct 21 at 7:27 mprouveur 163

2

votes

2

answers

26

views

What is the next step after k fold CV?

machine-learning cross-validation training

answered 2 days ago 10xAI 2,489

-2

votes

2

answers

33

views

Does data science literacy still important when there are many cloud solutions already? [closed]

machine-learning deep-learning cloud-computing cloud google-cloud-platform

answered yesterday Erwan 9,381

0

votes

1

answer

20

views

Same confusion matrix when changing DecisionTreeClassifier parameters

python classification decision-trees cross-validation confusion-matrix

answered Oct 22 at 20:38 Oliver Foster 587

0

votes

0

answers

31

views

Drowsiness Detection issue understanding LSTM input shape

neural-network deep-learning time-series lstm

modified 2 days ago Manoj Kumar 1

1

vote

1

answer

24

views

How to decide if gradients are vanishing?

deep-learning gradient-descent pytorch

answered 2 days ago Brian Spiering 9,679

0

votes

1

answer

30

views

model.predict() accuracy extremely low on training dataset

keras cnn transfer-learning

modified 12 hours ago Chan M 1

2

votes

1

answer

18

views

Playing cards object detection problem?

tensorflow dataset object-detection

answered Oct 22 at 19:01 Bruno Lubascher 2,698

1

vote

1

answer

23

views

how print f1-score with scikit´s accuracy_score or accuracy of confusion_matrix?

python scikit-learn multiclass-classification accuracy f1score

answered Oct 19 at 12:28 Simon Larsson 3,370

0

votes

1

answer

22

views

What is the most common practice of generating (X,Y) from an arbitrary CDF or PDF?

r probability sampling monte-carlo

answered Oct 23 at 8:37 mprouveur 163

-1

votes

0

answers

27

views

Paragraph detection Techniques [closed]

nlp

asked Oct 19 at 11:32 Rodrigo Serna Pérez 109

2

votes

1

answer

27

views

what does the standard deviation plot around my learning curve indicate?

machine-learning classification scikit-learn training

answered Oct 19 at 23:53 Cameron Chandler 150

1

vote

1

answer

21

views

How do I deal with additional input information other than images in a convolutional neural network?

machine-learning neural-network deep-learning convnet

answered yesterday ncasas 7,535

0

votes

2

answers

26

views

How to do anomaly detection on a time series curve? [closed]

keras time-series autoencoder anomaly-detection

answered Oct 22 at 15:39 RonsenbergVI 659

1

vote

1

answer

20

views

Why does reducing the n_estimators in RandomForestClassifier improve accuracy? [closed]

python scikit-learn random-forest

modified Oct 19 at 23:53 desertnaut 1,038

0

votes

2

answers

25

views

Problem with a feature (normal distribution + peak around 0)

data-cleaning feature-engineering feature-extraction feature-construction

modified Oct 22 at 4:10 Mario Tormo 1

-1

votes

0

answers

25

views

Combining Satellite Data of Different Resolutions [closed]

dataset preprocessing

modified Oct 19 at 19:40 Benji Albert 2,116

0

votes

1

answer

24

views

I want to run PCA on a data set that will be aggregated by country. Should I aggregate the data before or after I standardize the data, and why?

statistics pca

answered Oct 21 at 1:53 Ankita Talwar 157

2

votes

1

answer

18

views

Does the output of the Sequence-to-Sequence encoder model exist in the same semantic space as the inputs (Word2vec)? [closed]

nlp lstm word-embeddings word2vec sequence-to-sequence

answered Oct 19 at 22:44 Alex L 343

1

vote

1

answer

18

views

Why BERT tokenizers function differently?

machine-learning deep-learning natural-language-process tokenization

modified Oct 21 at 15:39 ncasas 7,535

1

vote

1

answer

18

views

Random selection of variables in each run of python sklearn decision tree (regressio )

scikit-learn regression decision-trees cart

answered Oct 22 at 23:48 Erwan 9,381

-2

votes

1

answer

18

views

How to achieve better accuracy of 90+ on a 3 class highly skewed dataset?

machine-learning deep-learning class-imbalance

answered 20 hours ago Erwan 9,381

0

votes

0

answers

23

views

How is BCELoss counted in PyTorch? [different result comparing to mathematical implementation]

python neural-network loss-function pytorch

modified 13 hours ago CapJS 55

1

vote

0

answers

23

views

How does the R implementation of RandomForest split nodes on categorical data?

r random-forest categorical-data encoding

asked Oct 22 at 19:13 David Stein 13

0

votes

1

answer

22

views

Performing a linear regression with Perceptron

neural-network regression linear-regression perceptron

modified Oct 21 at 16:18 Oliver Foster 587

-1

votes

0

answers

22

views

good combination of courses [closed]

association-rules

asked Oct 19 at 22:00 thrillist 1

0

votes

1

answer

22

views

Decision boundary in a classification task

machine-learning classification linearly-separable

modified Oct 21 at 22:10 desertnaut 1,038

1

vote

0

answers

22

views

How to control for Co-variate shift in test data set compared to train data for regression task?

machine-learning scikit-learn regression preprocessing

modified 2 days ago desertnaut 1,038

0

votes

1

answer

17

views

How to explain MAE/MSE at each node of decision tree for regression in sklearn python? [closed]

machine-learning python scikit-learn random-forest decision-trees

modified 2 days ago Erwan 9,381

-1

votes

1

answer

17

views

How can I fix this problem? [closed]

r

answered 23 hours ago Oxbowerce 653

1

vote

0

answers

21

views

How to apply pruning on a BERT model?

python tensorflow bert huggingface pruning

modified Oct 20 at 17:00 Stamatis Tiniakos 135

0

votes

0

answers

21

views

From Labels to Graph: what machine learning approaches to use?

machine-learning machine-learning-model graphs graph-neural-network

asked Oct 21 at 4:49 Hamed 101

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