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学生对 IBM 提供的 使用 Python 进行机器学习 的评价和反馈

12,058 个评分
2,089 条评论


This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....


Feb 6, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.


1951 - 使用 Python 进行机器学习 的 1975 个评论(共 2,083 个)


Feb 26, 2020

Could have been better especially in optimization part and pratical coding in video itself.

创建者 Pablo V V

Mar 26, 2019

I prefer a blackboard videos likek Khan Academy. Instructor looks like a robot. But its ok.

创建者 Sokob C

Jul 25, 2020

I prefer to have more lab work to help with maintaining what was covered in each section.

创建者 Mike B

Aug 30, 2021

some errors in the code. Seemed like a marketing tool for IBM vs. a training session.

创建者 Yunqi H

Jul 22, 2019

The course contents are okay. However, the labs and final exam are not well designed.

创建者 Mahan M

Oct 13, 2019

very hard compared to the other courses in this data science package, but good info

创建者 Asavari P

Feb 26, 2021

Good learning, but very fast paced. A little more practice assignments would help

创建者 shankar p

May 28, 2020

Watson Studio was not enough explained. extremely difficult to work on it.

创建者 Jayesh M

Jan 27, 2020

Too complex course, some one will do not understand many things out of it.

创建者 Abdulwahab A

Apr 3, 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

创建者 VRS

Jul 24, 2019

Should be an extensive course.The coding part should be explained more.

创建者 Scott M

Dec 6, 2020

Course content was good however the final assignment was confusing.

创建者 Madhurima M

May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

创建者 Chen Y

Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

创建者 Rangappa N

Feb 28, 2019

Programming works need to be added,Quiz need to graded for free


May 8, 2021

instead of implementing the algorithm more explanation on math

创建者 abd e m

Jul 4, 2020

everything was out of scope it was just a brief of every thing

创建者 Aravind P

Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

创建者 Stefan A

Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

创建者 Shamik K

Jan 2, 2021

It will help to add more clarity on the final exercise.

创建者 Ramsrinivas A

Jan 16, 2020

Theoretical portion was shallow compared to Lab portion

创建者 Hunter I

Apr 20, 2020

Learned a little bit, want more real world application

创建者 Oana S

Jan 28, 2021

Course is quite good but very basic not intermediate.


Dec 2, 2019

needs more clarification on classification algorithm

创建者 lorenzo a

Feb 12, 2020

soooo many typoes and small mistakes in this course