**Probability**

This course covers Probability and consists of 10 topics.

Introduction to Probability –

**In this video we define the concept of an experiment, sample space, and solve some simple probability problems.**Addition Rule of Probability and Mutually Exclusive Events –

**In this video we define mutually exclusive events and show how to compute P(A or B) for events A and B.**The Rule of Complements –

**In this video we explain how to use the Rule of Complements to solve tricky probability problems.**Independent Events –

**In this video we define independent events and show how easy it is to compute P(A and B) for independent events.**Conditional Probability –

**In this video we show how to compute the probability of one event given that another event has occurred.**Total Probability –

**Leading up to Bayes theorem, In this video we develop the Law of Total Probability.**Bayes Theorem –

**In this video we show Bayes Theorem allows us to use information to update probabilities.**Theoretical Basis for Naive Bayes –

**In this video we show how Bayes Rule can be used to efficiently classify observations into one of several groups**Calculating Likelihoods and Prior Probabilities for Naïve Bayes –

**In this video we calculate the prior probabilities and likelihoods needed to implement Naïve Bayes**Using Naïve Bayes to Compute Posterior Probabilities –

**In this video we show how to use Naïve Bayes to compute for any observation posterior probabilities for each group**