All About The World of Big Data January 23, 2022

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Let’s take a quick whizz through what confidence

Let’s take a quick whizz through what confidence intervals are all about.

The implications of what they actually mean vary depending on if you’re employing a #frequentist or #bayesian approach to your modelling, however fundamentally this is how the procedure could be carried out.

How do #confidenceintervals differ from #confidencebands ?
#datascience #statistics #machinelearning #python

Covariance talks about the direction of the linear

Covariance talks about the direction of the linear relationship between the variables whilst Correlation focussed on the strength as well as the direction of the linear relationship between two variables.

Use #covariance matrix when the variables are on similar scales and the #correlation matrix when the scales of the variables differ.

#statistics #datamodeling #datascience

How to check for normality when building linear mo $How to check for normality when building linear models? It is a common misconception to expect normality in the response variable Y. Actually, linear regression assumes normality of the residual errors \epsilon, which represent variation in Y which is not explained by the predictors, x. #statistics #datamodelling #datascience #datascientist #machinelearning$

To #standardize or #normalize? Swipe to find out w

To #standardize or #normalize? Swipe to find out why and the differences 👈🏽 #datascience #statistics #machinelearning #featurescaling

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