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A. To drop the least useful variables of a modelB. To reduce over-fittingC. To reduce the bias of a modelD. To decrease p-value
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Which of the following feature transformations would be a good choice to transform a categorical variable into a matrix binary feature?A. One-hot-encodingB. Principal Com...
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Hi All,I am writing a simple program using Tensorflow and DNNClassifier. Training Data is 9 pixel with four spectral bands, i.e. 4*9=36 featurs. And each data-point will ...
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how to choose the number of clusters based on intertia and based on silhouette using K-means
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I have a dataframe like belowMT_001 MT_002 hour 2012-01-01 00:15:00 3.807107 22.759602 00:15:00 2012-01-01 00:30:00 5.076142 22.759602 00:30:00 2012-01-01 00:45:00 3.8071...
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If a big company such as Google behind it, with high probability it is a great library such as TensorFlow. But in general how can I found out?
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PCAhttps://www.youtube.com/watch?v=FgakZw6K1QQK-Meanshttps://www.youtube.com/watch?v=4b5d3muPQmA&index=10&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF&t=0s
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Hello,I am trying to gain insight of the data but having hard time plotting it.Suppose I have a data frame like belowIDFeature 1Class1agood2agood3bgood4bbad5abad6abad7bba...