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Python and ML proficiency
·
Module 8
Probability and Statistics Essentials
1
Basic Probability Rules
Calculate probabilities using basic probability rules
2
Bayes' Theorem for Conditional Probability
Apply Bayes' theorem to compute conditional probabilities
3
Understanding Common Probability Distributions
Describe common probability distributions (normal, binomial, uniform)
4
Calculating Descriptive Statistics
Compute descriptive statistics: mean, variance, standard deviation
5
Population vs. Sample: Key Differences
Distinguish between population and sample statistics
6
T-Tests and P-Value Interpretation
Perform a t-test and interpret the p-value
Previous module
Calculus for Machine Learning
Next module
Introduction to Machine Learning