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.
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.
By Brian B•
Dec 14, 2020
Great hands-on practice with many different modeling methods. A fun final project too. Just has a few technical and typo glitches that keep it from a perfect score.
Oct 1, 2019
Nicely designed course on ML. All labs are very well structured which help to understand the concepts. Final project is a good test of the lessons learnt in course.
Feb 19, 2019
A good and detailed course on machine learning.A very good course for beginners to understand machine learning.
The final assignment was very insightful and helpful.
By Nabeel A•
Jul 28, 2020
Loved the way of teaching, the course was worthy and I boosted my skills but the content was not too vast which I was expecting , very easy to complete the course
Mar 17, 2020
Good theoretical and mathematical explanation . But the python programming was not explained . We should learn them by our own by reading in the tools in coursera
By Joseph J M•
Jul 7, 2020
3.5 stars. Serves its purpose. Skims over much of the important mathematical details. No coding demonstrations other than what you see in the notebooks provided.
By M. S P•
May 17, 2020
The course offers short videos that explains machine learning concisely is quite efficient, and also provides a platform to learners to practice in lab sections.
By Ana D•
Apr 13, 2020
I found the quality of teaching to be of good standard, however setting up IBM Watson studio and creating a project was very inconvenient and took a lot of time.
By Satyapriya R•
Mar 17, 2020
Well designed course for clear understanding of ML algorithms. Practical Labs gives you hands on experience to try out various algorithms. A very helpful course.
By Snow P•
Jan 18, 2021
Good part: This course provide a lot of concrete designed materials.
Not very good part: the content of videos are too simple, without any theoretical analysis.
By Tichaona M•
Oct 19, 2020
This course is great but one needs more time to read through other information sources. An in-depth understanding is critical to get the bigger picture of use.
By BYOUNG J Y•
Mar 6, 2019
Pros. Good for running code in Jupiter Notebook environment.
Cons. Language Support only English (others are few), and Screen sub overlays presentation text.
By ROHIT K S•
Mar 10, 2019
Excellent course . Concepts of machine learning algorithm were explained clearly and easily.
The interface with IBM notebook could have been much smoother ,
By VARUN S•
Oct 25, 2019
Would like to say that it would be of great help if we had some more practice on coding. But overall a wonderful course and helped me learn a lot. Thanks!
By Hamsavardhini A•
Aug 16, 2021
It was an excellent course. They covered all topics of ML. Practical session was good but need more explanation. That would be very helpful to students.
By Anas Z O•
Nov 2, 2022
overall the course is very good and covered the topics in ML, but the coding examples should be explained in a videos to clarify all points in details.
By Nermin K U•
Nov 28, 2019
The final project is ill-structured. It is hard to grade because you need to go back and forth in the codes. It makes both doing and grading harder.
By Aftab R•
Jan 28, 2020
The course appears to assume good competency in Python and does not provide much training on Python. This should be highlighted to students upfront.
By Richa S•
Jan 12, 2023
I am new to Machine Learning , as anew student I find the course simple to understand. I need to work on my lab skills which I will finish slowly.
By Sherbulandkhan B•
Apr 26, 2020
Course is very well structured. Some extra guidance and assistance would be nice with the Peer-graded assignment as it gets bit tricky and complex.
By Luis D C•
Jan 23, 2020
Learned a lot in this course, I would've liked there were more exercises throught the videos rather than some questions at the end of the section.
By Hakan D•
Jul 6, 2020
There were a couple of videos where the notes weren't separated with punctuations. But other than that, it was a really good course. Thank you.
By João P d J S d R•
Oct 29, 2020
This course is very well, but it doen't have model selection and stratified features selection with sklearn.model_selection.train_test_split.
By Tarit G•
Nov 29, 2019
It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.
By Luke P•
Jan 25, 2021
Good course if you have some basic knowledge of Python and data analysis. However, much of the course material had typos and small errors.