Define gaussian distribution and differences with binomial distribution

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Gaussian distribution is a continuous probability distribution that is symmetrical around its mean, while binomial distribution is a discrete probability distribution that represents the number of successes in a fixed number of trials.

Gaussian distribution is also known as normal distribution and follows the bell curve shape.
Binomial distribution is used to model the number of successes in a fixed number of trials, with each trial having the same probability of success.
Gaussian distribution is characterized by its mean and standard deviation, while binomial distribution is characterized by its number of trials and probability of success.
Examples: Height of individuals in a population follows a Gaussian distribution, while the number of heads in multiple coin flips follows a binomial distribution.

Define gaussian distribution and differences with binomial distribution

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