RN
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Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!
JL
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I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis
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.