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
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!!
By Krishna B S•
Mar 06, 2019
A very comprehensive and hands-on course for learning applied Machine Learning. Many thanks for this course.
By Milos P•
Jun 27, 2018
Decent material and I appreciate the amount of hard work that went into building the course. However, the course should really be titled "Evaluating Classification Methods", as that is pretty much the focus of the entire class. The lectures (especially in Week 2) were SOOOOOO long and very hard to absorb, that even double-speed didn't help. In education, less is more. I would compare this course to the reading of a textbook. There was very little focus on making sense of the code and solving real-world problems and far too much emphasis on shotgunning (what felt like) every single classification technique known to man and trivializing pros and cons of each method. To make matters even more strange, PCA and other useful methods were pushed into "optional". This course should really be a two-part course, especially since the claim is that the course requires 18 hours of time. Sure, type in the code just as the professor does and you get the right answer, but meaning is lost of if you are to adhere to the timeline. If I didn't know more about machine learning and this class had been the first one I had taken, I couldn't run fast enough from the pursuit of a career in this field. Data analysis is intriguing and the methods are varied and fascinating. For me personally, this class was a let-down. Again, I recognize the course was hard work; I am merely stating my personal sentiments.
By Jin-Kyu C•
Feb 09, 2020
I would not recommend this course except for week 1. According to some forum posts, not only is this course a bit outdated (needs fixes to many parts and they haven't fixed them for at least 2 years), seemingly small but crucial parts of the assignments are not covered in the lecture videos which were very frustrating and time wasting to figure out (4 week course ended up being 10 weeks for me with a result of 93,4% final grade). Combing through the videos turned out to be futile and of course, relying on external sources such as stackoverflow was also not very helpful since the questions asked need to be extremely specific to the course. Even simply submitting the assignments were met with difficulties; and it's similar forum posts week after week.
By eric g•
Feb 29, 2020
While I appreciated the difficulty of the course, the poor design and structure of the course is evident with the number of correction pop-ups that come up every video. The professor misspoke countless times over the duration of the course, and there are several typos on the slides that need to be corrected! I feel like the videos were also much more bland than previous courses in this specialization.
Additionally, while feature selection and data cleaning are large components of the final project, they are not at all the focus of what is taught in the course! I think this course was trying to do too much all at once, and leaves you with a shallow understanding of several things instead of a good understanding of any specific thing.
By Shiomar S C•
Oct 14, 2019
Honestly this course was somehow disappointed I really wanted to learn a lot but the professor was somehow discouraging, he repeated himself a lot, and for an online course and every video been 20+ minutes long and at the end only been useful 4 or 5 min of it… having so much errors during lecture and not following the notebook as it was given to us make it more difficult to learn… I’m choosing this platform (and paying) due the professor been good and this one make learning more difficult than the previous one.
By Josh J•
Jul 09, 2018
Although the course taught me a lot on the importance of parameter tuning and data leakage, I found that often times it was too technical and did not provide the information I was looking for. I found myself continuously referring to notes from other ML courses during the length of this course. In addition, the video errors and challenges with the auto grader were very frustrating.
By Olubisi A•
Jan 11, 2019
I think this course would be a bit challenging to someone who is new to machine learning. The professor often glosses over import details and moves a bit quickly through the course material. There needs to be more powerpoint and reading material explain what the videos explain.
By Amir A C•
Jan 19, 2020
Unfortunately, for me, this course (not the specialization) seems to be a "review of" Applied Machine Learning in Python" rather than "teaching" Applied Machine Learning in Python. Some codes used in the notebook were skipped by the instructor.
Dec 28, 2018
Week three is the worst ..
Lecturer is getting confused a lot in an already confusing topic which ofc makes me resort to outside readings in order to grasp it and leading to stretching the time I need to finish this week
By Sajjad K•
Jul 13, 2020
Teachers are very mediocre. They make way too many mistakes. Their pronunciation is stoic and muffled at times - makes it hard to follow.
By fulvio c•
Feb 25, 2020
The video and training provided it's not providing enough information in order to complete the assignments.
By Rakesh D•
Nov 11, 2019
lectures are boring, not updated but yes i learned something, but its not up to the margin
By Gregory B•
Jun 14, 2017
I'm disappointed that I took this class, poor design and delivery. Machine Learning is an exciting and fun topic, but you'd never guess it from this class, and the way the instructor delivers the content. It's a shame that the designers want to throw every possible model at you in 1 or 2 weeks, before having a discussion on model evaluation. This course focuses more on the academic than the practical, and doesn't try to explain these topics in an approachable manner. There are far better and engaging options available.
By Saqibur R•
May 03, 2020
This course is all over the place, and compared to the previous courses in this specialization, this seems like more of an effort to gloss over the documentation and capabilities of SciKit Learn rather than focusing on a handful of the most important ones. The course lacks focus, the material taught is not rich, and you are better off just reading the documentation on your own. The book recommended at the start of the course is excellent, and reading that instead might be more fruitful for you.
By Karim F•
Jul 10, 2020
worst course of this specialization so far , the instructor is just reading stuff not making any effort whatsoever and it seems like he's obliged to do teach this course ,the autograder is the worst and the journey with this course is really painful i hope that you take these points in consideration and just delete this course
By Rishi R•
Jul 06, 2018
Rather then writing code while explaining like the intro and plotting in python, the instructor shows it like slides, its hard to follow which chunk of jupyter notebook he is explaining, and requires lot of back and forth to read the code. Very bad way of explaining the codes.
By Sean D•
Jun 12, 2019
This is the worst course in the specialization. The autograder is bad. There is inadequate explanation about when to use the different models. Presumes way too much about the student's level of knowledge. Would not recommend.
By Craig A B•
Nov 02, 2018
There's too much back to back to back video lecture and not enough hands on work. The final quizzes and projects are too challenging given the amount of work done on the subject matter.
By Yuchen P•
Oct 09, 2017
The materials of this course is poorly arranged: how is that even possible to cover gradient boosting, random forest, neural network, and unsupervise learning in a single week?
By Sudhir K D J•
Feb 17, 2020
Very poor configurations. I am tired of submitting assignments on auto grader. This is the first time I am having such terrible experience with Coursera. Hope you improve.
By Marcos B G R•
Nov 06, 2018
This is a really bad quality course. A little bit more professionalism would be advisable. I will continue to the next course and leave this behind.
By Rezoanoor/CS/Rezoanoor R•
Mar 22, 2020
Faced problem in every assignment while reading the data sets. If the data is not in that folder what is the point of telling so?
Sep 22, 2018
1- very slow paced lectures
2- very basic and elementary examples
To sum up, it is boring and not useful for practical application.
By Ipsita D•
Apr 20, 2019
No visible support from groups forum. Videos knowledge is limited to complete assignment or quiz.
By Shaoqi C•
Mar 10, 2020
This is my worst experience of submitting assignment and I found out that I'm not alone