Author: CodeCapsule

Zipf Distribution 0

Zipf Distribution

πŸ“Š Zipf Distribution in Python The Zipf distribution is a discrete probability distribution that models ranked data, where the frequency of an item is inversely proportional to its rank.It appears in linguistics, social networks,...

Pareto Distribution 0

Pareto Distribution

πŸ“ˆ Pareto Distribution in Python The Pareto Distribution is a heavy-tailed continuous probability distribution often used in economics, finance, and social sciences.It is famous for modeling wealth distribution, income, or city sizes, where a...

Rayleigh Distribution 0

Rayleigh Distribution

🌊 Rayleigh Distribution in Python The Rayleigh distribution is a continuous probability distribution often used in signal processing, communications, and reliability analysis. It describes the magnitude of a vector with two independent, normally distributed...

Chi Square Distribution 0

Chi Square Distribution

πŸ“Š Chi-Square (χ²) Distribution in Python The Chi-Square distribution is widely used in statistics, especially for hypothesis testing, goodness-of-fit tests, and variance analysis. It describes the distribution of a sum of squared independent standard...

Exponential Distribution 0

Exponential Distribution

πŸ“ˆ Exponential Distribution in Python The Exponential Distribution models the time between independent events that occur at a constant rate.It is closely related to the Poisson Distribution, which models the number of events in...

Multinomial Distribution 0

Multinomial Distribution

🎲 Multinomial Distribution in Python The Multinomial Distribution generalizes the binomial distribution to more than two outcomes per trial.It models the number of occurrences of each outcome in a fixed number of independent trials....

Logistic Distribution 0

Logistic Distribution

πŸ“Š Logistic Distribution in Python The Logistic Distribution is similar to the normal distribution but has heavier tails. It’s often used in logistic regression, population growth models, and machine learning. βœ… 1. Characteristics of...

Uniform Distribution 0

Uniform Distribution

🎲 Uniform Distribution in Python The Uniform Distribution generates random numbers that are equally likely to occur within a specified range. It is widely used in simulations, random sampling, and scenarios where every outcome...

Poisson Distribution 0

Poisson Distribution

πŸ“Š Poisson Distribution in Python The Poisson Distribution models the number of events occurring in a fixed interval of time or space, assuming the events happen independently at a constant rate. It’s widely used...

Binomial Distribution 0

Binomial Distribution

🎲 Binomial Distribution in Python The Binomial Distribution models the number of successes in a fixed number of independent trials, each with the same probability of success.It’s widely used in coin tosses, quality control,...