Logistic Regression Simplified

Logistic regression is a powerful machine learning technique used for binary classification, specifically designed to predict the probability. Unlike linear regression, which predicts continuous numerical values, logistic regression is used for dichotomous variables; questions with only two possible answers, such as "is this email spam?" or "is a disease present?" To ensure accuracy, these models are trained using Log Loss rather than squared loss and require regularization to prevent overfitting. #logisticregression #machinelearning #datascience #mlforbeginners #aibasics