Top new questions this week:
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I know how to build an attention in neural networks. But I don’t understand how attention layers learn the weights that pay attention to some specific embedding.
I have this question because I’m ...
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I have a dataset in which I would like to perform a classification model, so I have decided to use Random Forest. The number of features that I have is approximately 200 and I would like to test which ...
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I am working on a clustering problem. I have 11 features. My complete data frame has 70-80% zeros. The data had outliers that I capped at 0.5 and 0.95 percentile. However, I tried k-means (python) ...
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What is the difference between model.feature_importances_ and tree.feature_importances_ in the following code:
import pandas as pd
from sklearn.model_selection import train_test_split
from ...
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I am trying to solve a problem where I am asked to perform classification using KNN but with a custom euclidean function:
The function is the following:
def euclid_distance(data_loan, ...
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I currently have a dataset with approximately 5% labelled points and 95% unlabelled. I would like to label some of the unlabelled points only if I am very confident and leave the rest NaN. Personally ...
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Let's make things simple. Imagine an underdetermined linear system with $N$ samples and $p$ features $(N<p)$. Let's say I found one of the possible (among many) solutions of such systems and ...
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Greatest hits from previous weeks:
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I am trying to convert a list of lists which looks like the following into a Pandas Dataframe
[['New York Yankees ', '"Acevedo Juan" ', 900000, ' Pitcher\n'],
['New York Yankees ', '"Anderson ...
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Suppose I have a 5*3 data frame in which third column contains missing value
1 2 3
4 5 NaN
7 8 9
3 2 NaN
5 6 NaN
I hope to generate value for missing value based rule that first product second ...
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Validation-split in Keras Sequential model fit function is documented as following on https://keras.io/models/sequential/ :
validation_split: Float between 0 and 1. Fraction of the training data
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I'm just starting to develop a machine learning application for academic purposes. I'm currently using R and training myself in it. However, in a lot of places, I have seen people using Python.
What ...
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How can I get the number of missing value in each row in Pandas dataframe.
I would like to split dataframe to different dataframes which have same number of missing values in each row.
Any ...
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I am trying to build a Regression model and I am looking for a way to check whether there's any correlation between features and target variables?
This is my sample dataset
Loan_ID Gender ...
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Referring to the Stanford course notes on Convolutional Neural Networks for Visual Recognition, a paragraph says:
"Unfortunately, ReLU units can be fragile during training and can
"die". For ...
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Can you answer these questions?
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I have features extracted from a small dataset, would like to reduce the dimensions by using LDA. Also want to do a SVM classification with k-fold cross-validation.
My question is: What would be the ...
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What are some useful rules of thumb for picking the number of augmenters per training image?
I realize this is a hyperparameter I can vary and test: I'm just trying to get a sense for reasonable ...
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In GoogLeNet papaer, 'local sparse correlation' is mentioned. But, I don't know the meaning. Also, I don't understand that statement " In the lower layers (the ones close to the input) correlated ...
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