Train Machine Learning Models

This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems. To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming

• Identify basic machine learning concepts
• Test hypotheses using experimental design
• Train and tune classification, regression, and clustering models
• Evaluate model performance using appropriate metrics

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work
• Background in computing technology and programming aptitude