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Getting started with Anaconda Notebooks
Course Overview and Learning Objectives
What is Probability?
Percentages and Odds
Joint Probability
Union Probability
Conditional Probability
Exercise: Airline Delays
Overview and Formula
Understanding Bayes Theorem
Bayes Theorem and Confusion Matrices
Normalizing Constant
Exercise: Smart Car Diagnostics
Bernoulli Distribution
Binomial Distribution
Multinomial Distribution
Poisson Distribution
Exercise: Coin Flips
Normal Distribution
Exponential Distribution
Beta Distribution
Exercise: Beans in a Cup of Coffee
Monty Hall Problem
Generating Values from Distributions
Customer Queue Simulation
Exercise: Elevator Weight Limit Simulation
Fitting a Normal Distribution
Using MLE to Fit a Linear Regression
Exercise: Calculate the MLE for a Dataset
Summary and Further Reading Resources
End of course survey
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