The Pareto distribution, also known as the Pareto II or Lomax distribution, is a continuous probability distribution used to model…

The Rayleigh distribution is a probability distribution used to model the magnitudes of random vectors whose components follow independent Gaussian…

The chi-square distribution is a fundamental probability distribution used in hypothesis testing, particularly in chi-square tests. It’s implemented in Python’s…

The exponential distribution is a probability distribution used to model the time between events that happen randomly and independently at…

The multinomial distribution in Python’s NumPy library is represented by the np.random.multinomial function. It’s used to generate random samples that…

The logistic distribution, also known as the sigmoid distribution, is a continuous probability distribution in Python’s NumPy library. Logistic Distribution…

The uniform distribution is represented by the numpy.random.uniform function. It’s used to generate random numbers that are uniformly distributed over…

Difference Between Binomial and Poisson Distribution BINOMIAL POISSON Number of Trials and Outcomes Fixed number of trials (n) with exactly…

Poisson Distribution The Poisson distribution is a discrete probability distribution that models the number of events occurring in a fixed…

Binomial Distribution describes the outcome of binary scenarios, e.g. toss of a coin, it will either be head or tails.…

NORMAL OR GAUSSIAN DISTRIBUTION The random.normal() method is used to get a Normal Data Distribution. It has three parameters- loc…

Seaborn is an open-source Python library built on top of matplotlib. It is used for data visualization and exploratory data…

Random Permutations Random Permutations means arrangement of the elements of array in different ways. The shuffle() and permutation() methods from…

What is Data Distribution? Data Distribution is a list of all possible values, and how often each value occurs or…