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.
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来自SUPERVISED MACHINE LEARNING: REGRESSION的热门评论
really good course, content is rich with good machine learning concepts
Very well designed course, great that we could work with our own data and apply the theory. Looking forward to continue the journey.
It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.
Well structured course. Concepts are explained clearly with hands on exercises.