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返回到 使用 Python 进行机器学习

学生对 IBM 技能网络 提供的 使用 Python 进行机器学习 的评价和反馈

12,828 个评分


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.


1776 - 使用 Python 进行机器学习 的 1800 个评论(共 2,229 个)

创建者 Neil C

Aug 29, 2020

It was a good course but the final exam could do with more structure around what is expected

创建者 Urs H

Jun 29, 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

创建者 rk s

Feb 20, 2022

the final peer review quiz was too difficult, should have included more practice exercises

创建者 Ciniso M

May 25, 2021

This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.

创建者 Mitanshi K

Apr 30, 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

创建者 Vinit K S

Apr 8, 2020

It is such a vast topic, It would have really been great if there were few more exercises.

创建者 Daniel J B O

May 26, 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

创建者 Rubén G

May 29, 2020

I recommend including more examples and documentation of the metrics in the algorithms.

创建者 Aldy P S

May 29, 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!

创建者 Stefanos S

Dec 18, 2020

If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.

创建者 Sudhir S

Dec 2, 2018

More videos would have helped to understand concepts of subject better to apply in lab

创建者 Robert F

Aug 2, 2020

The final test portion was a little rough. Finally got the test to work successfully.

创建者 anas m r

Aug 2, 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

创建者 Meijuan Z

Mar 22, 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.

创建者 Sadabrata K

Mar 22, 2020

Random Forest Classifier is not included. Everything else is very good. Nice course.

创建者 Devraj S

May 1, 2020

It will be more helpful if this course has a more detailed explanation of the codes

创建者 Eden P

Apr 11, 2020

Really enjoyed this one. Quite challenging in places however rewarding nonetheless.


Mar 19, 2020



创建者 Naomi R

May 16, 2022

G​reat course but it would be good if it covered the preprocessing of data as well

创建者 Dhaivat P

Apr 19, 2020

It is a very good course and the instructor is so good you get code to practice on

创建者 Eric

Jan 20, 2020

Good introductory course covering most of the basic ML algos. Wish it covered NLP.

创建者 K A N D U L A V E N K A T A H E M A N T H

Oct 4, 2020

This course is very hepful to build a carrer and update yourself with the skills

创建者 Akshita M

Jun 11, 2020

This course is indeed a nice course where one can achieve basic knowledge on ML.

创建者 Nishchay K

May 18, 2020

Lab is a bit difficult at times but videos explaining the concept are very good.

创建者 Ninad M K

Jul 22, 2020

This course was good and it teaches me how to use machine learning with python.