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 stars16.61%
- 3 stars3.07%
- 2 stars0.92%
- 1 star0.61%
SUPERVISED MACHINE LEARNING: REGRESSION からの人気レビュー
Well structured course. Concepts are explained clearly with hands on exercises.
Great Course curated by IBM team. It is really designed well and helps to achieve the goal. It is as per the industry standard, and practical. One can do this course thoroughly and get a job.
really good course, content is rich with good machine learning concepts
This course is very helpful. The wonderfull part in this course was the final course project in which I had to create my own linear regression model by adding polynimial features and regularization.