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.
- 5 stars78.76%
- 4 stars16.61%
- 3 stars3.07%
- 2 stars0.92%
- 1 star0.61%
來自SUPERVISED MACHINE LEARNING: REGRESSION的熱門評論
Thank you Coursera.
Thank you IBM.
Thank you to all intructors.
Well structured course. Concepts are explained clearly with hands on exercises.
It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.
Learned really about supervised learning and more importantly regularization and some available methods.