🎲 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 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. ✅ 1. Characteristics of...
🎲 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 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 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,...
📊 Other Common Random Distributions in Python After Normal (Gaussian) distribution, NumPy can generate other statistical distributions like Uniform, Binomial, Poisson, and Exponential. Let’s go through each with examples and visualization. 1️⃣ Uniform Distribution...
📊 Normal (Gaussian) Distribution in Python The Normal Distribution (also called Gaussian distribution) is a bell-shaped curve where most of the data points cluster around the mean. It’s widely used in statistics, machine learning,...
📊 Seaborn in Python (Complete Guide with Examples) Seaborn is a statistical data visualization library built on top of Matplotlib. It provides high-level interface for creating attractive and informative charts. ✅ 1. Installation pip...
🔀 NumPy Random Permutations (Complete Guide) Random permutation means randomly shuffling the elements of an array, either in-place or by creating a shuffled copy.NumPy provides efficient methods for this. All functions are in numpy.random....
📊 NumPy Random Data Distribution (Complete Guide) NumPy provides functions to generate random numbers following different statistical distributions. This is very useful in simulations, data analysis, and machine learning. All these functions are in...
