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.
By Meet S
•Sep 17, 2020
No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍
By Christie P
•Aug 5, 2021
A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.
By wasim m
•May 9, 2020
The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it
By Muhammad Z A
•Dec 23, 2019
It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.
By Rajshekhar D
•Feb 22, 2021
The course gives idea about the things to know choose a prediction algorithm, only thing is - the coding part can be stressed upon more.
By Mohit M
•Jul 1, 2020
It covers only the basics of machine learning not all topics are covered in this course. You will need to learn many things on your own.
By Vibha S
•Aug 28, 2020
It would have been helpful to have an explanation of t each of the lines in the code, especially the ones that created the graphs.
By Louis C C I
•Mar 25, 2021
I learned a lot but wish the coding was explained better. The final project could have been better if it had more instructions.
By Rohith P R
•Apr 24, 2020
Need more clarity while explaining the algorithms. Also need video lectures on the code used in the lab and how the code flows.
By Amal J (
•Jul 16, 2020
Peer review was problamatic , IBM Watson was tough to grasp could have been more informative .
But the course was really good
By Shankari S
•Aug 31, 2020
This course covers the basic of major algorithms. It could be useful if they add more examples and more metrics calculation.
By AINUR A
•Mar 25, 2021
Why am I not eligible to upgrade to a New version of a specification if it exists and I already paid for the next months??
By Manuel D
•Oct 3, 2023
Basic Mahcine Learning course. It goes through the very basics of several models, but lacks practice and true excercises
By Pratik P
•May 1, 2023
Was not able to get a clear understanding of the applications of Statistical concept applied in different ML algorithms.
By Bob D
•Jan 25, 2022
Some useful material, but again plagued by bad spelling, punctuation and technical issues. Nowhere near good enough.
By Diwakar S
•Apr 19, 2020
a very short video on theory part and without practical example. then we directly jump on notebook assignment.
By Pedro S
•Nov 16, 2022
I understand that this a introduction course but I believe some things should have been taught in more depth.
By Muhammad S
•Oct 10, 2022
The answer to questions were very difficult to interpret. The feedback from staff was not very satisfactory
By Raed K
•Aug 11, 2020
I felt that it needs to be guided more it was tough to take the final project. But thank you for the course
By Pedro V
•Jan 10, 2022
Rather basic but pretty well explained. I was expecting something more advanced and with much more Math
By Kiran V
•Sep 4, 2019
Some concepts should be dealt with more explanation (SVM, recommedor system- collaborative filtering)
By Johan
•Mar 31, 2020
The statistical equations can be explained better to enable better application in the real world.
By Andrew P
•Jan 17, 2020
Would have preferred more step by step explanations to the process, even if it is in written form
By Dhananjay K
•May 1, 2020
this course quite difficult to complete. please add some normal application in this course.
By DHAVAL J
•Feb 26, 2020
Could have been better especially in optimization part and pratical coding in video itself.