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 stars78,79 %
- 4 stars16,33 %
- 3 stars3,15 %
- 2 stars0,85 %
- 1 star0,85 %
Principales reseñas sobre SUPERVISED MACHINE LEARNING: REGRESSION
Thank you Coursera.
Thank you IBM.
Thank you to all intructors.
It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.
awesome expirence and iam good to go towards an next course thankyou.
Learned really about supervised learning and more importantly regularization and some available methods.
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