Top new questions this week:
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I have an imbalanced dataset like so:
df['y'].value_counts(normalize=True) * 100
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I have a dataset relating to humans completing reviews, the target variable is whether the review decision is correct / incorrect and one of my features is a trailing 4 week accuracy score for the ...
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Allow me to present some images so that I may explain my problem. The images on the left contain a smooth curve surrounded by lots of outliers/noise. The image on the right depict the desired curve.
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I have a transaction dataset from a supermarket. Let's say the average spend is $50.
I want to get each customer's average spend and rank them based on where they fall based on this $50 average spend.
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I am learning data analytics and I wonder if there are some good references and tutorials about machine learning, data analytics and data mining?
What I'm searching for is an understandable reference/...
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I've got some big datasets of images (a few million each), and I would like to cluster them according to images' visual similarities. I've extracted a feature vector for each image; the space of ...
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There are a large number multiple testing p-value correction methods. e.g.:
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Greatest hits from previous weeks:
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I recently read Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, Trevor Darrell. I don't understand what "deconvolutional layers" do / how they work.
The ...
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I've been reading Google's DeepMind Atari paper and I'm trying to understand the concept of "experience replay". Experience replay comes up in a lot of other reinforcement learning papers (...
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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 suggestion?...
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Suppose I build a neural network for classification. The last layer is a dense layer with Softmax activation. I have five different classes to classify. Suppose for a single training example, the <...
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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 ...
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When writing a paper / making a presentation about a topic which is about neural networks, one usually visualizes the networks architecture.
What are good / simple ways to visualize common ...
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I am building a regression model and I need to calculate the below to check for correlations
Correlation between 2 Multi level categorical variables
Correlation between a Multi level categorical ...
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Can you answer these questions?
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I am trying to build a liveness detection system but till now I haven't been able to generate any significant results.
I read the article by pyimagesearch this on the same topic but no luck. Tried ...
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I would like to run quantization aware training with a keras model which has an LSTM layer. However, just the LSTM layer seems to not be supported. Alan Chiao seems to suggest here that it is possible ...
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I have multiple datasets that I trained with ElasticNetCV (sklearn), and I noticed that many of them selected l1_ratio = 1 as ...
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