Oct 14, 2017
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!!
Sep 09, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
创建者 Mario P•
Dec 08, 2019
I struggled with this course. The lectures cover a great deal of information extremely fast. I appreciate that there are more lectures than in previous courses in the specialization and the information is better presented IMHO. The assignments were quite difficult and I struggled. Relying heavily on discussion forums and online posts.
创建者 Vatsal K•
May 24, 2020
I think the instructor must give more practical explanation for scikit-learn. I need to research almost everything for completing a particular assignment. Please have changes in pitch of your voice while delivering the lectures so the lectures don't seem boring. Also, please update the autograder !
Overall a good course. Thank you.
创建者 MD T R J•
Apr 12, 2020
The course material is good, but the teaching style is too boring. Without the standstill slides, if there is animation, it would be helpful for us. And, the assignments are not straight-forward and the autograder is buggy. As an example, I can run the assignments easily in the jupyter, but the autograder faces problems.
创建者 Jun L•
Nov 07, 2019
There are too many errors in the video and even in the quizzes and assignments which will affect the final grade and wastes studying time to figure out it is an error. It is pointed out in the discussion forums but no one is taking the action to correct it. Moreover, at least 3 of the reading materials fail to be loaded.
创建者 Devansh v•
Jul 17, 2020
Course is good but leaves a lot of things unexplained and feels like the weeks explaining ml algorithms are in a rush.But the assignments are truly remarkable.I would recommend this course to anyone who already knows machine learning and would want to apply it on some good problems/assignments before Kaggle.
创建者 Alexey F•
May 05, 2020
I really like the main idea of this course, i.e., using sklearn lib along with basic lectures on the ML topic. So, I was expecting that we will be following the contents of text book by A.C. Müller & S. Guido. In the first two weeks it was really good. The materials of last two weeks were quite compressed.
创建者 Sakina F•
Mar 27, 2018
The videos are way too long and very monotonous. They should be cut down and reduced. The maximum length they should be is 5-6 mins other wise they becoming distracting.
The course content is good though. Quite easy to understand but going through the videos is a chore.
创建者 vikram m•
Aug 26, 2019
It's a good course, but a quick one. One needs to have a beforehand knowledge of all the algorithms as they are not discussed in details. State of the art is not mentioned. Implementation and best practices are present, along with pros and cons of each algorithm
创建者 Claire Z•
Jul 20, 2019
The course is quite high-level. There is nothing wrong with an applied course being high-level. The material is easy to follow, the quiz is a bit challenging but the homework assignments are quite easy to pass. I prefer a course with more fundamental details.
创建者 Raymond C•
Jan 28, 2019
The course is too tight, just 4 weeks cannot master the machine learning. This course can splitted into 2, in order to capture more on the deep learning and unsupervised learning, which are important, but being categorized as option in the course.
创建者 Tracy S•
Jul 31, 2017
the second assignment was a little beyond what was taught in the lecture. others are fine.
big suggestion: please please have a better auto-grader. Most of my time was spending on how to battle the auto-grader instead of coding...
创建者 Sukesh K•
Jun 14, 2020
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.
Aug 07, 2017
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.
创建者 Ketan L•
Jun 04, 2018
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.
创建者 Victor E•
Aug 16, 2017
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.
创建者 Kareem H•
Mar 03, 2020
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
创建者 Thomas B•
Jul 07, 2018
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
创建者 BIRENDRA H S•
Jun 13, 2020
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
Jul 05, 2017
Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.
创建者 Matteo B•
Aug 10, 2019
Assignments are not really supported by the material provided (videos). The level is not balanced. Some bugs in the assignment code as well
创建者 Berkay A•
Jul 15, 2020
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.
创建者 Halil K•
Sep 27, 2019
Good content, bad teachng staff. Though the discussion forum contributors were very helpful and should be commended for their efforts.
创建者 Ankur P•
Mar 30, 2019
Unsupervised learning was missing. The codes written in the lectures were not explained clearly. Some topics looked unimportant.
创建者 James F•
Feb 13, 2018
Good overview of methods. A bit too intense at times though, may have been better to really focus on a couple of key concepts.