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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- 5 stars80,39 %
- 4 stars15,29 %
- 3 stars3,13 %
- 2 stars0,39 %
- 1 star0,78 %
Principales reseñas sobre SUPERVISED MACHINE LEARNING: REGRESSION
Very well presented. This is without doubt the best series for Machine Learning on Coursera.
Well structured course. Concepts are explained clearly with hands on exercises.
best course ever I learned regression and polynomials in a professional way. thank you
Very well structured course, the explanations were very clear.
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