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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Habilidades que obtendrás
- 5 stars78,89 %
- 4 stars16,51 %
- 3 stars3,05 %
- 2 stars0,91 %
- 1 star0,61 %
Principales reseñas sobre SUPERVISED MACHINE 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.
Learned really about supervised learning and more importantly regularization and some available methods.
Well structured course. Concepts are explained clearly with hands on exercises.
really good course, content is rich with good machine learning concepts
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