Normal distribution
Normal distribution, or Gaussian distribution, is a function that distributes the list of random variables in a graph that is shaped like a symmetrical bell. I am pretty sure that you will have encountered this term numerous times in your data science career. But have you understood its concept? Well, a normal distribution has a density curve that is symmetrical about its mean, with its spread typically defined by its standard deviation. It has two parameters – the mean and the standard deviation. The fact that the normal distribution is principally based on the central limit theorem makes it relevant. If the size of all possible samples in a population is n, and the mean is μ and the variance σ2 , then the distribution ...
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