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.
About this Course
Skills you will gain
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- 5 stars80.19%
- 4 stars15.51%
- 3 stars2.97%
- 2 stars0.66%
- 1 star0.66%
TOP REVIEWS FROM SUPERVISED MACHINE LEARNING: REGRESSION
Learned really about supervised learning and more importantly regularization and some available methods.
awesome expirence and iam good to go towards an next course thankyou.
Great way learn about machine learning development of regression models
It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.
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