Day31 ML Review - Logistic Regression (3)
How To Train in Scikit-Learn, and Regularization with LR model
How To Train in Scikit-Learn, and Regularization with LR model
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