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Aditya
  • Member for 6 years, 11 months
  • Last seen more than a month ago
2 votes

What does it mean when your NN model has "multiple" inputs or outputs in Keras?

0 votes
Accepted

Can colored images have more than 3 channel values?

3 votes
Accepted

Why I get AttributeError: 'float' object has no attribute '3f'?

1 vote

Boostrap parameter in random forest regressor?

1 vote
Accepted

how to take CSV file input in list of tuples

1 vote

how to calculate number of datapoints within a given time interval?

3 votes

Is it advisable to combine two dataset?

1 vote

How to get a count the number of observations for each year with a Pandas datetime column?

1 vote

Minimum Neurons in Neural Network

0 votes

Keras, DNN ending with sigmoid - model.predict produces values < 0.5. This indicates...?

0 votes

plot multiple strings from a dataframe

1 vote

Backpropogation through Maxpool and relu

1 vote

Neural Network unable to track training data

4 votes
Accepted

How to arrange the image dataset in CNN?

6 votes

Scatter plot for binary class dataset with two features in python

1 vote

How to apply machine learning model to new dataset

1 vote

Need help in understanding a small example

1 vote
Accepted

Numerical example of Confusion in understanding learning rate in xgboost

1 vote

xgboost cannot identify perfectly fitting regression line

4 votes

Export pandas to dictionary by combining multiple row values

1 vote

Handling a combined dataset of numerical and categorical features for Regression

3 votes

how to print kmeans cluster python

0 votes

neural network xor gate classification

4 votes

Plots with shaded standard deviation

23 votes

What does "baseline" mean in the context of machine learning?

3 votes
Accepted

Do I need a next for loop in order to get all values?

4 votes

Error: Input 0 is incompatible with layer lstm_1: expected ndim=3, found ndim=2

0 votes
Accepted

What data treatment/transformation should be applied if there are a lot of outliers and features lack normal distribution?

2 votes
Accepted

Alternatives to Logistic Regression

0 votes

deriving the gradient of batch normalization