From the course: Machine Learning Foundations: Statistics
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Introduction to probability distribution - Python Tutorial
From the course: Machine Learning Foundations: Statistics
Introduction to probability distribution
- [Instructor] If you have previously taken my ML probability course, you have explored different types of probability distributions. If you haven't, I highly recommend taking it as probability and statistics go hand in hand, like coffee and milk. But don't worry, we'll cover the basics related to statistics. In the previous chapters, we have covered the basics of descriptive statistics. And now we'll cover inferential statistics that cover methods built upon probability theory and distributions. Distribution is defined as a function that shows the possible values for a variable and how often they occur. The distribution type depends upon the types of variables. Random variables can be divided into discrete and continuous. A discrete variable takes only a limited set of values from a given range of values. For example, the number of seats in a cinema, the number of questions in a quiz, the number of pets in a…
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