CA
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could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice
FG
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Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.
By Vasiliki T
•Dec 12, 2020
A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!
By Daksh J
•May 19, 2020
Nice and easy to learn for basic of machine learning.
Concept are explain in nice way with the help of good example
By Daniel P
•Aug 1, 2024
interesante el curso aunque no me llego el certificado con honores apesar de que envie el trabaja y fue calificado
By Dhanaraj N
•Jul 12, 2022
It's excellent course for beginners with theory and practical hands on training, really enjoyed it while learning.
By Chandra R
•May 18, 2019
It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.
By Santhosh R B
•Apr 7, 2020
Would have been more interactive if the grading was done after each and every week through assignments.
Thank you
By 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.
By Jorge T
•Sep 23, 2022
An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.
By 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.
By Giorgio G
•May 20, 2020
Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.
By Lakshit .
•Jul 25, 2021
The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.
By Gabriel C
•Feb 19, 2020
Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials
By Christian F
•Jun 3, 2020
Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.
By VARUN B
•Feb 11, 2020
Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.
By Hichem D
•Jul 11, 2020
the course was awesome, easy to understand even for someone with no prior knowledge in machine learning
By 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.
By Krishna M
•Apr 22, 2019
The course is aptly structured for intermediate learners - just the right level of complexity and ease.
By Abhijit S
•Jan 17, 2022
It's always better to study materials made by IBM. Understandable concepts & great project experience.
By Aditya S
•Jun 29, 2020
More peer graded assignments should be there , so that learners get more practice for building models.
By Brannon C
•Jun 21, 2020
Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.
By ABU H M A R
•Jan 5, 2020
Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot
By Manal C
•Nov 27, 2019
Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)
By Matthew A
•Jun 14, 2019
This was a good course - but still could use more hands-on exercises to go along with the lectures.
By 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
By Brian G
•Jun 17, 2019
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.