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Skewed data is most common in data science,skew is the degree of distortion from a normal distribution.The null hypothesis for this test is that the data is a sample from a normal distribution, so a p-value less than 0.05 indicates significant Skewness. https://www.incegna.com/post/transforming-skewed-data-for-machine-learning Check our Info : www.incegna.com Reg Link for Programs : http://www.incegna.com/contact-us Follow us on Facebook : www.facebook.com/INCEGNA/? Follow us on Instagram : https://www.instagram.com/_incegna/ For Queries : [email protected] #machinelearning,#skeweddata,#datascience,#datatransforming,#Normalization,#Sigmoidfunction,#loggraph,#cuberoot,#logmax,#rootnormalized,#HyperbolicTangent,#PercentileLinearization,#machinelearningalgorithms https://www.instagram.com/p/B8fwZAJApF5/?igshid=tvmmuqx24ps
#machinelearning#skeweddata#datascience#datatransforming#normalization#sigmoidfunction#loggraph#cuberoot#logmax#rootnormalized#hyperbolictangent#percentilelinearization#machinelearningalgorithms
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