This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques.
À propos de ce cours
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Meilleurs avis pour SUPERVISED LEARNING: REGRESSION
Very well designed course, great that we could work with our own data and apply the theory. Looking forward to continue the journey.
Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.
Learned really about supervised learning and more importantly regularization and some available methods.
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