Logistic Regression
A fundamental statistical algorithm that models the probability of a binary outcome by passing a linear combination of inputs through a sigmoid function.
Think of It Like This
Like predicting if it will rain by assigning weights to clouds and humidity, then squishing the final score between 0% and 100%.
Despite its name, logistic regression is a classification algorithm, not a regression one. It assumes a linear boundary separates the classes in the feature space and is heavily interpretable through its learned coefficients. It serves as the foundational building block for modern neural networks.