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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- 4 stars15.38%
- 3 stars3.23%
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- 1 star0.80%
来自SUPERVISED MACHINE LEARNING: REGRESSION的热门评论
Thank you Coursera. Thank you IBM.\n\nThank you to all intructors.
Learned really about supervised learning and more importantly regularization and some available methods.
A well structured course with useful techniques in real life.
best course ever I learned regression and polynomials in a professional way. thank you