Conditional probability and Bayes’ Theorem are powerful tools in probability theory.Conditional probability measures the likelihood of an event given that another event has already occurred.Bayes’ Theorem allows us to infer causes from observed effects.Bayes’ Theorem is widely applied in various real-world scenarios such as medical testing and spam filtering.