great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
By Sukesh K•
Course is well structured, course material also is well defined and learning is excellent. Though Instructor's communication is very laidback. Should have more engagement in tone and connect with enthusiasm.
Quick tutorial-like overview. Autograder is not too verbose and as a result I spent some time struggling with debugging the code rather than figuring out how to solve machine learning related problems.
By Fernanda T•
Good content and I learned a lot. However, the instructor made too many mistakes during the lectures and the assignments also have mistakes that need to be fixed by the students.
By Ketan L•
Follow the course with introduction to ML with python to have descent understanding. Instructor won't be able to keep one interested for long. Exercises could have been tougher.
By Victor E•
Two point: 1) you can learn a lot here, 2) imagine you are shown a hammer but never explained how to hit a nail. Two previous courses in the specialization do both.
By Kareem H•
Course instrutor and materials are needed to be improved as they are very poor
Assigments\Quizes are very good and they are the mainly root cause for this rating
By Thomas B•
Some very good practical advice like dummy testing or data leakage issues Some trivialities and repetitions. Python code could have been a bit better commented
By BIRENDRA H S•
there should be some low level usage of sentences for a intermediate programmers,most of times it bounces up the mind ,not able to get the required concept
Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.
By Matteo B•
Assignments are not really supported by the material provided (videos). The level is not balanced. Some bugs in the assignment code as well
By Berkay A•
This course seems hard and actually I did not like the syllabus so much. Assignments were so hard and there were some issues in Notebooks.
By Halil K•
Good content, bad teachng staff. Though the discussion forum contributors were very helpful and should be commended for their efforts.
By Ankur P•
Unsupervised learning was missing. The codes written in the lectures were not explained clearly. Some topics looked unimportant.
By James F•
Good overview of methods. A bit too intense at times though, may have been better to really focus on a couple of key concepts.
By Om R•
The course is great, but need certain improvement for assignments and quizzes. The facts should be checked multiple times.
By Darshan S•
Not enough real life examples throughout the video, makes it very hard to concentrate during the whole lecture.
By Mauricio A E G M•
This course is not useful to learn from scratch, but has some good things, for example the final assignment.
By Nikola G•
Really didn't like the quiz parts of the course. If it was up to me I would do thorough revision of these.
By Chirag S•
The content was less informative and audio quality was poor. However, assignments are fun completing.
By Rohit S•
The online grader needs to be updated as there is constant error showing up though our code is right
By Gilad A•
The last assignment was super. apart for it, the assignments and the course were too easy
By Sai P•
There were a few corrections made during the videos which ended being quite confusing.
By Philip L•
The assignments are extremely difficult, professor is a bit dry during lectures.
By Sundeep S S•
Only classification based ML is covered. Regression based ML is non-existant.