Day30 ML Review - Logistic Regression (2)
Cost Function of Logistic Regression
Cost Function of Logistic Regression
Basic Concepts and Sigmoid Function
Step by Step - Training Perceptron (3)
Step by Step - Training Perceptron (2)
Choosing a Classification Algorithm Step by Step - Training Perceptron (1)
Population Proportions, p-values & Confidence Intervals, and Type I & II Errors
Test Statistics (Z-Test, t-Test, and Chi-Squared Test)
Law of Large Numbers, Central Limit Theorem, and Hypothesis Testing (1) - General Setup
Properties of Random Variable
Continuous Probability Distribution and Markov Chains