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返回到 使用 Python 进行机器学习

學生對 IBM 提供的 使用 Python 进行机器学习 的評價和反饋

9,778 個評分
1,591 條評論


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 07, 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.


May 26, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!


1426 - 使用 Python 进行机器学习 的 1450 個評論(共 1,580 個)

創建者 Muhammad A S

May 27, 2020

The difference between teaching and taking quizzes and final coding assignment is too big because you make it optional to see the coding in the lectures and in final assignment you give a huge assignment which is technically not equivalent to the teaching process. So, my advice is that please make the lectures more attentive or make the programming exercises more compulsory and more suggestion and hints to understand it better, so that we can actually do the final assignment on our own. I have completed 8 courses of IBM Data Science specialization, believe me I have faced this issue in almost all of them.

創建者 Niko J

May 18, 2020

Great course for learning ML with Python BUT includes surprisingly many mistakes and typos. Even in the final test there are very misleading copy/paste type of error in the description of the assignment. And many students in the forum have point out those mistakes already two years ago. Not fixing those clear and well reported errors is weird move from the creators and stops me giving more than 3/5 for otherwise superb course.

創建者 Eric G

Dec 04, 2019

The parts on regression are previously covered in other courses that are part of the IBM Data Science professional certificate. Overall, there is a lot of information covered in this course but it feels rushed and done in not enough depth. It is an ok course for an overview of machine learning methods, but sits in a weird spot of trying to be too broad while being detailed, but too shallow for a rigorous study of each method.

創建者 Alex M

Jul 21, 2020

I understand that this is a higher level course, so it may be designed in such a way to require learners to take bigger leaps, but I did not feel the explanations of what was required on the final were very clear, and once I graded other people's finals, it was clear that it was not clear for almost anyone.

Not a terrible course, the material and the topics were good, but better explanations are needed, I think.

創建者 Advaith G

Sep 21, 2020

While the course does give a pretty good introduction to the concepts behind most machine learning algorithms and enables us to realize how ML works, the problem lies in the code. None of the code is explained in detail, so the course is extremely theoretical. It basically tells you to copy the code for your own use with small edits but does not explain how to write the code in the first place.

創建者 Ankur G

May 18, 2020

A good course to learn know-how of Machine Learning using Python language so as to facilitate analysis and visualization of data to make effective decisions. I thank the professors to make this course interesting and worth it. Only thing is, videos can be made in a better way so as to facilitate people with non programming background. Maybe some basics of programming would help.

創建者 Harry T

Jul 14, 2020

Good introduction, but not complete.

The course does well in introducing Machine Learning, and covers a good range of classification algorithms. However I feel doesn't go the full length. The labs very briefly cover implementation but I find that it falls short. There's a lack of polish in the material, while typos are minor, the labs are can be jarring and hard to follow.

創建者 Sergio T

Jul 15, 2020

The course presents a useful overview of basic machine learning techniques without going into mathematical detail. The weekly test questions can be improved to assess the non-qualitative aspects of the topics covered. Using scikit-learn is well illustrated by labs using Jupyter Notebooks. There is plenty of room to update and improve the contents.

創建者 Sean D

Feb 10, 2020

Very much enjoyed the course and am thankful for the great content, however the peer-grading process created some unnecessary headaches. On how to improve this I posted in the forum here:

Thank you nonetheless for a great course!

創建者 Syed F A

Apr 18, 2020

This course provides a great introduction to machine learning. The first 3 weeks are in detail and well explained. The 4th and 5th weeks are not explained as expected. The Labs helped a lot in understanding the practical implementations of the algorithms. However, there should be a little explanation of what is going on in the code.

創建者 Marcel V

Jul 18, 2019

Material covered is substantial.

You get a good overview of machine learning and some algorithms that are used. (Not always in depth.)

My biggest problem with the module is with the end assigment which is not clear in my opinion (and of some fellow students in the forums who also passed this module) This unclarity is not addressed.

創建者 Juan D M G

Jul 21, 2020

Me gustaron mucho los temas del curso! Los videos son buenísimos para entender la teoría; sin embargo, en los laboratorios no está documentado el código y hay muchísimas funciones nuevas que son usadas y no hay ninguna aclaración de cómo se usan o para qué se usan. Sólo en un laboratorio encontré todo documentado y explicado.

創建者 Sven V

Feb 20, 2020

This was by far the most time intensive course, not because the topic is so difficult but because the intructions for the final assignment are so vague and unclear. Otherwise the theory sessions were good. But whole structure of final assignment from definition all the way through marking is not clear and VERY time consuming.


Jun 29, 2020

The coding part should be explained as well. The autofilled code makes the learner lethargic and lazy to code himself. I;ve faced this difficulty and I cannot certify that I am 100% sure of what code I've learnt. Please take proper steps in order to teach CODING as well and not only theory.

創建者 Amir H

Jun 30, 2019

the level of the course was lower than I thought it will be.. especially comparing to the final assignment.

nevertheless it did give me a strong basic for most of the materials at least to the level I will be able to explain each topic to one who doesn't know nothing about machine learning.

創建者 Mohamed M

Jan 21, 2020

This course is a great introduction for people who have a background in Python and mathematics, but from a personal perspective, it should pay more attention to the details of the machine learning algorithms and special cases and do more practice using harder, more inconsistent use cases.


Mar 27, 2020

Very demanding, that is great!!

It is not updated, therefore many instructions are incorrect and instead of 1 hour, one can use 2 or 3 days.

The system Watson Studio is not working all the time. I lost many lines in my final project because it stoped before I could save the changes

創建者 Elvijs M

Apr 18, 2020

The only OK course in the specialization. I found that the intuition/concept behind various algorithms was explained quite well. The mathematics, on the other hand, were basically skipped. And as always, the assignments are sadly pretty much "copy and paste from the examples".

創建者 Samantha R

Sep 07, 2019

Good course and quite relevant. However, the project was not gearing up for the final Capstone project. I did not feel the skills I gained from this course set me up to succeed with my Capstone project. I felt like I was still in the dark running any kind of machine learning

創建者 宋文傑

Feb 19, 2019

It go through many kinds of machine learning with only simple sample. it doesn't seem like I can earn some job-ready skill after taking this course. The introduction is good, but the content are just too simple to help us deal with real problem.

創建者 Mohammad Q

Aug 30, 2019

It is an overwhelming course.. really it is packed with knowledge.. yet I with that in the video the instructor explain more in the code.. the theoritical knowledge is understandable but when coding comes.. things getting little bit difficult.

創建者 Jeremiah T

May 04, 2020

Explained basic methods of machine learning but could have provided more guiding information on the final project that encouraged learning and helped us complete the project efficiently but also compel us to explore the methods thoroughly.

創建者 Andrei-Ionut D

Aug 31, 2019

Not too many explanations for the assignment, only 2 rows which are supposed to tell us exactly what we have to do. This is why everyone ended up creating very different things, which made it harder when reviewing their work.

創建者 Adam J L J H

May 27, 2020

I think that the Machine Learning Models taught were explained really well In theory to help understand what we are doing. However, there is not much explanation to the syntax of the models which could be elaborated on.

創建者 Artin Y

May 19, 2020

The course was very intense and it was not clear what was wanted from you(i.e. the scope you're expected to know for the exams)

The quizzes are vastly different from the final project and don't prepare you for it.