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

4.7
782 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....

热门审阅

AI

Oct 18, 2023

The course is extremely good in understanding the concepts of regressions. Great work

SP

Aug 10, 2021

Well structured course. Concepts are explained clearly with hands on exercises.

筛选依据:

26 - Supervised Machine Learning: Regression 的 50 个评论(共 149 个)

创建者 Nicola R

Feb 22, 2022

Great course, well structured. The presentation of the different methods is very clear and well separated to understand the differences. A good understanding of basic regressors is gained from this course.

创建者 MAURICIO C

Mar 25, 2021

It was an exceedingly difficult for me, sometimes JSON files under Jupiter Notebook links made me freeze. But this intensity of challenge brings me an improvement for my skills.

Thanks Coursera & IBM

创建者 Muhateer M

Sep 22, 2022

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.

创建者 Gopi P

Nov 24, 2022

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.

创建者 Alparslan T

Jan 6, 2022

Linear Regression, Ridge, Lasso, Elastic Net, L1 and L2 regularizations... All very well explained theoretically and coded on Jupyter Notebook accordingly.

创建者 Anish K

Jul 2, 2023

Highly recommended if you want to learn Supervised learning : regression professionally with library. You should have prior knowledge to mathematics.

创建者 konutek

Dec 13, 2020

The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.

创建者 Mohammad K K

Aug 12, 2022

It was a great learning experience with in-depth knowledge and practice-based demos helped me to understand the concepts easily.

创建者 manuela k

Apr 22, 2025

I've got great insights from this course!, I would recommend it to anyone looking to bush up ML skills.

创建者 mustafa

Sep 19, 2022

It is very successful in explaining the topics and showing them in practice. thanks IBM and coursera

创建者 Luis P S

May 4, 2021

Excellent!!! I rather recommend the course for those who need to understand properly and fast!

创建者 Евгений

Feb 12, 2024

Deep understanding of regression models and math concepts. I definitely recommend this course

创建者 Vivek O

Apr 10, 2021

Very well presented. This is without doubt the best series for Machine Learning on Coursera.

创建者 wissam m

Jun 6, 2021

best course ever I learned regression and polynomials in a professional way.

thank you

创建者 amir i

Oct 19, 2023

The course is extremely good in understanding the concepts of regressions. Great work

创建者 Saraswati P

Aug 11, 2021

Well structured course. Concepts are explained clearly with hands on exercises.

创建者 Nada F A

Jul 31, 2025

amazing but I think need more real-life examples to connect the idea better

创建者 KL G

Jun 5, 2021

Please give the lecturer credit and include him as one of the instructors

创建者 Pratik N

Feb 6, 2022

really good course, content is rich with good machine learning concepts

创建者 Patrick B

Jun 16, 2021

Great way learn about machine learning development of regression models

创建者 Junaid A

Oct 7, 2025

Very pleased to complete this course, useful. Recommended for careers

创建者 Mandy W

Aug 31, 2024

The concept is well explained and involves solving real-life problems

创建者 Usman V

Jul 6, 2022

awesome expirence and iam good to go towards an next course thankyou.

创建者 Bishal B

Apr 4, 2022

Great course for someone wanting to learn Supervise Machine learning

创建者 Juan M

Jun 11, 2021

Very well structured course, the explanations were very clear.