Introduction to Model Design

Explore the fundamental process of designing machine learning models from start to finish. This lesson guides you through key stages such as importing libraries and datasets, performing exploratory data analysis and data scrubbing, splitting data for validation, setting algorithms, making predictions, and evaluating and optimizing your model. By understanding this structured approach, you will be able to confidently create and refine your own machine learning workflows.