This beginner course introduces fundamental predictive modeling techniques, guiding learners through building and evaluating models for prediction using classic and ensemble methods. Learners will gain hands-on experience with linear and logistic regression, decision trees, random forests, support vector machines, and ensembling techniques to develop effective predictive solutions.