Use this module to build the skills for the job task Plan and Select Your ML Approach. You'll learn how to translate business problems into well-defined ML tasks, set clear objectives and success metrics, evaluate algorithm options against problem requirements, and justify your model choice based on data characteristics and constraints. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.

Use this module to build the skills for the job task Build Linear Models and SVMs. You'll learn how to implement and optimize linear and logistic regression models, check key modeling assumptions, apply regularization techniques, and use Support Vector Machines with linear, RBF, and polynomial kernels for complex classification and regression tasks. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.

Use this module to build the skills for the job task Build Tree-Based and Ensemble Models. You'll learn how to build and tune tree-based models such as CART, Random Forest, XGBoost, and LightGBM, then extend that foundation by designing ensemble methods including bagging, boosting, and stacking to improve robustness and accuracy on tabular datasets. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.

Review the skills you practiced and demonstrated in this course, then prepare to describe them in career-relevant ways. You’ll also explore recommended skill paths that can help you continue building related job-ready skills.