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 stars16.46%
- 3 stars3.04%
- 2 stars0.91%
- 1 star0.60%
SUPERVISED MACHINE LEARNING: REGRESSION からの人気レビュー
A well structured course with useful techniques in real life.
Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.
It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.
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.