课程概述
热门审阅
RV
Jan 14, 2025
good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.
IK
Dec 13, 2022
Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.
2576 - Machine Learning with Python 的 2600 个评论（共 3,272 个）
创建者 William O
•Jun 24, 2020
Thank you so much!
The content was appropriate for my interests. I learned a lot and it was so accurate.
创建者 Krishna M
•Apr 22, 2019
The course is aptly structured for intermediate learners - just the right level of complexity and ease.
创建者 Abhijit S
•Jan 16, 2022
It's always better to study materials made by IBM. Understandable concepts & great project experience.
创建者 Aditya S
•Jun 28, 2020
More peer graded assignments should be there , so that learners get more practice for building models.
创建者 Jose M D C
•Nov 30, 2025
This course is really good, just a couple of courses that are unupdate but overall, it is really good
创建者 Brannon C
•Jun 21, 2020
Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.
创建者 ABU H M A R
•Jan 5, 2020
Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot
创建者 Manal C
•Nov 27, 2019
Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)
创建者 Matthew A
•Jun 14, 2019
This was a good course - but still could use more hands-on exercises to go along with the lectures.
创建者 018 A D
•May 19, 2020
it was a nice course but there must be a little explanation video of the codes written in the labs
创建者 Brian G
•Jun 17, 2019
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.
创建者 Jacopo R
•Nov 4, 2025
Nice course for the basis in scikit-learn. The notebook for the final exercise can be done better
创建者 david m
•Feb 23, 2025
The course was good however at some Point, labs started feeling like advertising for IBM's SNAPML
创建者 Mitchell H
•May 15, 2020
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
创建者 Joseph L
•Jul 24, 2019
I am enjoying the course so far. Very well explained with a pretty comprehensive course material.
创建者 nilay m
•Mar 11, 2019
it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.
创建者 Saptashwa B (
•Mar 4, 2019
The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon
创建者 ADEJOKUN A
•Apr 27, 2020
The underlying concepts of the various algorithms were broken down and delivered with simplicity
创建者 آسر م ز م
•Nov 24, 2025
Great and valuable information! However, delivery sometimes lacks further explanation or depth.
创建者 Mahesh W
•Apr 18, 2025
Very disappointed the slides are not available for download, resulting in a lot of wasted time.
创建者 Sisekelo M
•Nov 12, 2025
Great course. Needs a few editing with the grammar, however the content is quite educational.
创建者 ASTHA S 2
•Nov 11, 2025
good course but not beginner friendly you must have prior knowledge of Python, NUMpy, Pandas.
创建者 Bala M
•Sep 17, 2019
Excellent course explaining all the essential details to kick of the ML journey using Python.
创建者 Lovish G
•Apr 25, 2024
Difficult to understand for a Non-mathematical student. Overall a great learning experience.
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