返回到 Supervised Machine Learning: Regression

学生对 IBM 提供的 Supervised Machine Learning: Regression 的评价和反馈

4.7

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826 个评分

课程概述

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. By the end of this course you should be able to: Differentiate uses and applications of classification and regression in the context of supervised machine learning Describe and use linear regression models Use a variety of error metrics to compare and select a linear regression model that best suits your data Articulate why regularization may help prevent overfitting Use regularization regressions: Ridge, LASSO, and Elastic net Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....

151 - Supervised Machine Learning: Regression 的 159 个评论（共 159 个）

创建者 Jacob J

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Nov 6, 2022

The content was great. However, there were numerous typos and more than half of the time the labs either wouldn't load and/or the notebooks were not the same as the videos. This was similar as the prior course.

创建者 Andre S

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Oct 1, 2023

Added extra good content, but poor explanation. Graded quiz are not well explained in the course.

创建者 Carlos J

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Sep 26, 2023

Too many errors in exams. Repeated videos and deprecated python codes.

创建者 Khalid M

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Mar 23, 2023

Good course , but many videos should be explained more visually

创建者 Luis A G R

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Dec 4, 2023

Algunos notebooks marcan error.

创建者 Saman F

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Feb 17, 2023

good and its very helpfull

创建者 HARSHA V

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Oct 16, 2023

创建者 Rick B

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May 21, 2025

This would be a fantastic course, but there are no handouts! First off It would be nice to have a notebook on the code you're working on, since trying to follow along squinting at the instructor's notebook, is very poor way of teaching. You spend most of the lecture writing notes, so you may miss something the instructor says. You have better classes on the subject such as the University of Michigan's class. This class was the breaking point with IBM, especially as you get into the more technical issues. I appreciate IBM putting the material out but I have had it.