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.
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.
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
von Joseph J M•
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.
von M. S P•
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.
von Ana D•
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.
von Satyapriya R•
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.
von Snow P•
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.
von Tichaona M•
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.
von BYOUNG J Y•
Pros. Good for running code in Jupiter Notebook environment.
Cons. Language Support only English (others are few), and Screen sub overlays presentation text.
von ROHIT K S•
Excellent course . Concepts of machine learning algorithm were explained clearly and easily.
The interface with IBM notebook could have been much smoother ,
von VARUN S•
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!
von Hamsavardhini A•
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.
von Nermin K U•
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.
von Aftab R•
The course appears to assume good competency in Python and does not provide much training on Python. This should be highlighted to students upfront.
von Sherbulandkhan B•
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.
von Luis D C•
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.
von Selmir K•
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.
von João P d J S d R•
This course is very well, but it doen't have model selection and stratified features selection with sklearn.model_selection.train_test_split.
von Tarit G•
It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.
von Luke P•
Good course if you have some basic knowledge of Python and data analysis. However, much of the course material had typos and small errors.
von Laura S M D•
Un curso muy completo, aunque mejoraría un poco los ejercicios, que al estudiante se le diera más importancia en la resolución del programa
von Jacqueline ( G•
It's so bad when someone reviews your assignment and gives you an unfair score. But this happened a lot because of this peer review system.
von M R F D•
Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.
von Gaurav S•
The Course Could have been a little better if there were more theory and more illustrations at time a disconnect was felt in the Course
von Alonso h g•
I think the methodology is outdated. But the bases are the same. It is remarkable that they teach how the algorithm and formulas work.
von Shivam S•
Very fascinating course but exercises like final project will be more for exposure to real coding than it will be really more helpful.