Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen mit Python von IBM
Über den Kurs
Top-Bewertungen
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.
1826 - 1850 von 1,992 Bewertungen für Maschinelles Lernen mit Python
von Shreya D
•It is a really good course for understanding theories and covers vast topics! The concept were explained very nicely but it lacked proper mathematical working of algorithms or deep intuition about them.
von SAIKAT B
•There is more theory than practical examples and exercises. The final project is nowhere near the actual course syllabus. No ML algorithm is taught in the course. But you ask them in the final project.
von Ashish
•The instructor is very good and explanation of concepts is very clear.
But the code explaination is not there so we have to search for each keyword on google. Just wanted to have someone to explain code.
von Rejoy C
•Its Ok. From Theoretical aspect, its good as a introduction. But for Python, this is not like introductory. Python programming is just reading materials. There are no videos for explanation.
von Berkay T
•So much stuff skimmed, left unexplained. Explanations are very shallow. This course gives you an idea on what you will have to do to tackle ML learning, but I can't say it fully teaches it.
von Jesús G A S
•Good explanations in the video, however the complementary notebooks are lacking in depth explanations. The capstone project is underwhelming, as it only includes classifications algorithms.
von A P
•A really good course, until you get to the final project, which is terribly written. It is unclear what the actual objectives of the final task are supposed to be, and the English is poor.
von Joann L
•Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.
von SAI K P
•the course content is good, the course exercises are great. But there is no responsible human TA monitoring the discussion forum. So if you get stuck in a problem, then good luck to you.
von Christina W
•Assumes a lot of background knowledge around Python. Not a great introductory course for someone with no experience with machine learning, AI, and limited experience with coding.
von SHALIN S
•Contents in labs were just there without explicitly explained in detail. Few codes were written without proper understanding. Overall for understanding, it was good course.
von Omid Z
•The course has some valuable pieces of information to whom have not any background about Python and machine learning. Highly recommended for beginners, not professionals!!!
von Varun V
•This course is definitely not for starters. People should have good knowledge before enrolling in this course and then this can be taken as an excellent refreshing course.
von Chinelo o
•The Labs and assignment had poor instructions that were not easy to interpret. Some of the videos need to be reviewed as they do not match up with the transcribed texts.
von Nicholas S
•A lot of theory, not a lot of examples. The final project had lots of typos, pre-written code needs updates, questions need some clarification. Theory was fun though.
von Sean S
•I feel like the course started in the correct direction but then moved very quickly over some complex issues (i.e the programming behind building the ML models)
von Rana F
•The explanation for each algorithm was good. However, the labs and the last assignment does not really explain what to do and it is all over the place.
von Jonathan M
•Loved the assignments out here. They are awesome. Anybody who knows a little python and dataframe manipulation should be comfortable with this course.
von Mauricio F O M
•It could be more didatic, with more simple (and ready) codes, and also a step by step code block composition to explain better each part of it.
von Meet S
•No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍
von Christie P
•A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.
von wasim m
•The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it
von Muhammad Z A
•It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.
von Rajshekhar D
•The course gives idea about the things to know choose a prediction algorithm, only thing is - the coding part can be stressed upon more.
von Mohit M
•It covers only the basics of machine learning not all topics are covered in this course. You will need to learn many things on your own.
Coursera Footer
