In Statistics, the probability distribution function is a function that takes the values of a feature as input.
The output of the probability distribution function is the probability of the values the feature can take.
Therefore we can make predictions based on the probability distribution function.
A normal distribution function is a special case of a probability distribution function that looks like a bell curve.
The normal distribution function is also called the Gaussian distribution function.
For more details you may like to watch below video…
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