Probability Distribution
In Data Science, Probability Distribution refers to a function that describes the likelihood of obtaining the possible values that a random variable can take. It is a fundamental concept in statistics and machine learning, as it allows us to model and analyze the behavior of data. There are two main types of probability distributions: discrete and continuous. Discrete probability distributions are used when the random variable can only take on a finite or countably infinite number of values, while continuous probability distributions are used when the random variable can take on any value within a certain range. Some common examples of probability distributions include the normal distribution, the binomial distribution, and the Poisson distribution.
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