课程概述
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.
2526 - Machine Learning with Python 的 2550 个评论（共 3,224 个）
创建者 Thiago C
•Apr 13, 2020
The course is good but I will need to start at a beginner level in order to consider reapplying to this course.
创建者 Jorge T
•Sep 23, 2022
An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.
创建者 Suhan R
•Jan 11, 2020
The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.
创建者 Giorgio G
•May 20, 2020
Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.
创建者 Liaqat A
•Aug 1, 2025
The course was informative, but it was also swift and sometimes challenging for a person new to the field.
创建者 Lakshit .
•Jul 25, 2021
The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.
创建者 Gabriel C
•Feb 19, 2020
Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials
创建者 Christian F
•Jun 3, 2020
Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.
创建者 VARUN B
•Feb 11, 2020
Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.
创建者 Hichem D
•Jul 11, 2020
the course was awesome, easy to understand even for someone with no prior knowledge in machine learning
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.