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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

4.7
9,301 个评分
1,497 条评论

课程概述

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....

热门审阅

RC

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.

RN

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!

筛选依据:

1376 - 使用 Python 进行机器学习 的 1400 个评论(共 1,486 个)

创建者 Jesús G A S

Jun 07, 2019

Good explanations in the video, however the complementary notebooks are lacking in depth explanations. The capstone project is underwhelming, as it only includes classifications algorithms.

创建者 A P

Jun 27, 2019

A really good course, until you get to the final project, which is terribly written. It is unclear what the actual objectives of the final task are supposed to be, and the English is poor.

创建者 Joann L

Mar 29, 2020

Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.

创建者 SAI K P

Apr 27, 2019

the course content is good, the course exercises are great. But there is no responsible human TA monitoring the discussion forum. So if you get stuck in a problem, then good luck to you.

创建者 Christina W

Apr 28, 2020

Assumes a lot of background knowledge around Python. Not a great introductory course for someone with no experience with machine learning, AI, and limited experience with coding.

创建者 Omid Z

Apr 23, 2020

The course has some valuable pieces of information to whom have not any background about Python and machine learning. Highly recommended for beginners, not professionals!!!

创建者 Varun V

Feb 13, 2019

This course is definitely not for starters. People should have good knowledge before enrolling in this course and then this can be taken as an excellent refreshing course.

创建者 Chinelo o

Mar 13, 2020

The Labs and assignment had poor instructions that were not easy to interpret. Some of the videos need to be reviewed as they do not match up with the transcribed texts.

创建者 Jonathan M

Mar 27, 2019

Loved the assignments out here. They are awesome. Anybody who knows a little python and dataframe manipulation should be comfortable with this course.

创建者 Mauricio F O M

Feb 26, 2020

It could be more didatic, with more simple (and ready) codes, and also a step by step code block composition to explain better each part of it.

创建者 Wasim m m

May 09, 2020

The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it

创建者 Muhammad Z A

Dec 23, 2019

It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.

创建者 Mohit M

Jul 01, 2020

It covers only the basics of machine learning not all topics are covered in this course. You will need to learn many things on your own.

创建者 Rohith P R

Apr 24, 2020

Need more clarity while explaining the algorithms. Also need video lectures on the code used in the lab and how the code flows.

创建者 Amal J

Jul 16, 2020

Peer review was problamatic , IBM Watson was tough to grasp could have been more informative .

But the course was really good

创建者 Diwakar S

Apr 19, 2020

a very short video on theory part and without practical example. then we directly jump on notebook assignment.

创建者 Kiran

Sep 04, 2019

Some concepts should be dealt with more explanation (SVM, recommedor system- collaborative filtering)

创建者 Johan

Mar 31, 2020

The statistical equations can be explained better to enable better application in the real world.

创建者 Andrew P

Jan 17, 2020

Would have preferred more step by step explanations to the process, even if it is in written form

创建者 Dhananjay K

May 01, 2020

this course quite difficult to complete. please add some normal application in this course.

创建者 DHAVAL J

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 Yunqi H

Jul 23, 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