Learn the principles of Linear Regression - a key classification algorithm! This course is intended for AI and Data Science professionals seeking a fundamental understanding of logistic regression. This includes the sigmoid function, categorical versus continuous variables, calculating the confusion matrix, recall vs. precision, and the F1 score. During the course, participants will learn the process for pre-processing data for a logistic regression, common errors that arise during model calculation, and the best practices for interpreting findings. The course also includes a review of use cases that are particularly beneficial for logistic regression, including the methodology for determining the cut-off point for predictions that are used to calculate the true positive rate. - Course is free for Silver, Gold and Elite Tier members - 60 minutes of learning - Participants must pass the assessment to earn a digital badge and certificate