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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
12,471 个评分
2,162 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

FO

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.

RC

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.

筛选依据:

1976 - 使用 Python 进行机器学习 的 2000 个评论(共 2,157 个)

创建者 Julien P

Dec 30, 2020

Content was good, a bit shallow on some aspects (didn't cover many ML techniques, was light on SVM content, etc.). But the quizzes were too easy and didn't properly test technical aspects of the course.

创建者 Mohammed A Q K

Sep 27, 2020

The sections on Clustering and Recommender Systems were difficult to follow. It would have been ideal if they had more in-depth video explanations or if the contents in the lab notebooks was simplified.

创建者 Shreya D

Jul 24, 2020

It is a really good course for understanding theories and covers vast topics! The concept were explained very nicely but it lacked proper mathematical working of algorithms or deep intuition about them.

创建者 SAIKAT B

Nov 29, 2019

There is more theory than practical examples and exercises. The final project is nowhere near the actual course syllabus. No ML algorithm is taught in the course. But you ask them in the final project.

创建者 Ashish

Jul 30, 2019

The instructor is very good and explanation of concepts is very clear.

But the code explaination is not there so we have to search for each keyword on google. Just wanted to have someone to explain code.

创建者 Rejoy C

Jul 11, 2020

Its Ok. From Theoretical aspect, its good as a introduction. But for Python, this is not like introductory. Python programming is just reading materials. There are no videos for explanation.

创建者 Berkay T

Oct 28, 2019

So much stuff skimmed, left unexplained. Explanations are very shallow. This course gives you an idea on what you will have to do to tackle ML learning, but I can't say it fully teaches it.

创建者 Jesús G A S

Jun 6, 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 Raul R D D L

Jan 27, 2022

I understand that you want to cover many methods in this course, but you see so much that it is confusing, difficult to assimilate. I think this is the least good of the entire series.

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 Jianshi L

May 5, 2022

Generally good course with essential regression, classification and clustering algorithms. Some snippets of code are a little outdated and could be replaced by neater ones.

创建者 SHALIN S

Jun 21, 2021

Contents in labs were just there without explicitly explained in detail. Few codes were written without proper understanding. Overall for understanding, it was good course.

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 Nicholas S

Mar 25, 2021

A lot of theory, not a lot of examples. The final project had lots of typos, pre-written code needs updates, questions need some clarification. Theory was fun though.

创建者 Sean S

Aug 29, 2020

I feel like the course started in the correct direction but then moved very quickly over some complex issues (i.e the programming behind building the ML models)

创建者 Rana F

Sep 15, 2020

The explanation for each algorithm was good. However, the labs and the last assignment does not really explain what to do and it is all over the place.

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 Meet S

Sep 17, 2020

No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍

创建者 Christie P

Aug 5, 2021

A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.