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.
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
автор: Vinicius d A O•
This course was very good, with a lot of information and important tips for me. The instructor is good but he is long winded, so this course was very long with videos during 20 minutes.
автор: Saman H A•
- more technical materials, comparisons and better classified details should've been provided, especially to be more proportional to the assignments.
-again, subtitles were full of typos
автор: philippe p•
The course is well balanced but the progression becomes quite agressive at Week3 and culminate at Week4 with a real life case assignment without much guidance. Great experience dough.
автор: Vaishnavi M•
Amazingly explained. An intermediate Machine Learner would definitely get clarity of concepts already learned and also new concepts explained so skillfully with graphs and diagrams.
автор: Alex E•
Good overview of methods in ML. Would have been nice if the lectures contained a little more mathematical rigor and explanation of why and how the various algorithms are effective.
автор: Virgil C L•
Good course and prof.
The exam and exercise in very interesting according to what I learn in following all videos, with this i improved my level in python progamming, I recommended.
автор: Eugene S•
Automatic assignment grader has room for improvement. Some python code that works perfectly well when run locally or on the course web page would crash when run by autograder.
автор: Jiunjiun M•
The class material is well prepared and make machine learning very easy to learn. The first three homework assignment is a bit hand-holding but the last one is really good.
автор: Amine D•
Good Course, i would have liked a little bit more theory about the algorithms, but this is an applied course of ML. Projects are good and the readings are interessting!
автор: Gautam P•
Videos are good and had challenging assignments. I enjoyed learning new concepts. I wish we had one more week to practice more on advanced Machine learning concepts.
автор: Giovanni S•
Very interesting, a lot of focus of statistica theory and little less (as compared to previous courses of specialization) on practical examples and implementation.
автор: Jiangzhou F•
Good overall but some concepts and python functions need more explanations. Maybe 5 or 6 weeks are more appropriate for this course. It is too dense under 4 week.
автор: Holden L•
better than the first two courses of this specialization for the content is coherent and the assignment is relevant to the knowledge taught in the course video.
автор: Leon V•
Request: Can we have the instructions with a "translation" to "regular" English - for those of us who still have to get used to machine learning jargon? Thanks.
автор: Christian P•
Code and examples were very useful. Teaching a bit lengthy and detailed at times. Overall a very good course for getting hands-on machine learning in python.
автор: Weiqi Y•
It's alright as a course focusing on applied techniques. If you are expecting more theories and understanding of the algorithms, this one may not for you
автор: Helen L•
Submission isnt easy often gave errors that are not due to students' faults. Time-consuming unnecessarily. The content and assignments are great.
автор: Utkarsh S•
Very informative course, the only issue I had was with the file locations in the assignments. Takes up a lot of time switching back and forth.
автор: Mariano T•
There are some problems with the assignments but the course is very good. You must improve the material for the assiggnment. I love the forum
автор: Srinivas K R•
Good overview of machine learning topics with practical exercises in the use of multiple techniques primarily through use of scikit-learn.
автор: David W•
Hands on and practical. Dr. CT and his staff have done a great job introducing Machine Learning. Where were you 20 years ago? Thank you!
автор: Rakshit T•
A good course for beginners in Machine Learning. You get to the learn the basics of many techniques and their implementation in python.
автор: yannick t•
Excellent lectures. However, I would have needed more guidance for the last assignment. I learned a lot, but through pain and struggle.
автор: M V B•
It was a great experience learning through Coursera ,who provides best faculty for making students understand easily.
thank you Cousera
автор: Prathmesh D•
It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you