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user211037 3923611 2 The usage of "from numpy import *" is a foul exercise. It pollutes the global namespace. "import numpy as np" is better. When you've got particular functions you utilize lots, and you are Uninterested in producing np.

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That could be a great deal of recent binary variables. Your resulting dataset will probably be sparse (numerous zeros). Feature variety prior could possibly be a good suggestion, also test following.

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Are it depend on the take a look at precision of product?. In other which means exactly what is the distinction between extract function following practice one particular epoch or coach a hundred epoch? precisely what is very best functions?, may very well be my query silly but I would like respond to for it.

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  up vote two down vote Given that we are submitting code anyway, and no person-liner is posted but, here goes:

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Many thanks for you excellent submit, I have an issue in element reduction using Principal Component Analysis (PCA), ISOMAP or every other Dimensionality Reduction system how will we ensure about the volume of features/dimensions is ideal for our classification algorithm in the event of numerical details.

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Project Profanity Editor: Visualize it’s late during the night and you receive an e mail from a manager, requesting your help with one thing.

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