學生對 密歇根大学 提供的 Applied Text Mining in Python 的評價和反饋

I like this course, even though it adopts auto-grader instead of peer-grading. It requires more accurate of your code and more skill of programming, but it is worthy.

A lot of self-learning. The assignment is challenging, but well designed! The forum is the key to understand the Computer science writing style in the assignment :)

Loved this course. the pacing, the instruction. it flowed and I felt i could execute what I learned without too much head scratching due 'missing leaps of info'.

Just the right proportion of theory and practice. This course isn't enough to even study basics of text mining, but it has relevant materials to start from.

Feeling very proud of you Vinod sir ! I am from India and your this beautiful Indian accent and relatable examples helped me to understand things easily :)

This is so clearly information about text mining. I get more information from this course. I hope can implemented this knowledge for the real world cases.

An interesting topic that takes text mining to a new level, it was really insightful to understand how these tools can be applied to the real world.

An amazing course.I love how even the basics are covered and its transition to the difficult topics. An amazing explanation with a very right pace.

It was an excellent course to get insights of python concepts with text mining and to learn much more new advance things in python. Thanks A lot.

Course was really good and the the way mentor was teaching us the concept was really good. For me the best course so far in this specialization.

This instructor was great! His slides and explanations were much easier to follow than the other course instructors in the specialization.

Highly recommended course about text mining and modelling for Computer Scientists! Great and challenging assignments to grasp the skills!

Nice and interesting course. This course opens a lot of possibilities to processing information data and bibliometric studies.

it's great course to learn text mining in python , you will find many good examples which are related to real worlds problems

Good course overall, reasonable assignments, interesting material, but wish topics of week 4 were explored in greater depth.

less practical, few notebooks in learning phase, it would be better if they were more python notebooks during learning phase

Course videos are great. nice explanation of such complicated topics. Assignments in the beginning 2 weeks can be improved.

Does exactly what it says on the label. Makes you really think about what you are doing with the text. Highly recommended.

Excellent course! Everything is understandable and interesting. I hope it'll help me in my future career. Thank you a lot!

I haven't finished the course yet. But the syllabus and the reading materials look really nice for an intro to NLP course.

The explanation was great. I enjoyed doing this course. Also found interesting completing the quiz and assignments part.

The last week content is little bit hard, but discussion forum helped a lot , overall the course was good to start NLP.

Thorough explanations provided by the lecturer and assignments which are challenging but helpful for learning purposes

I'm auditing this course, as I don't have enough to get the certificate. I hugely recommend it. It's well explained.

Well prepared and put in an interesting way. Assignments allowed me to get general understanding of the techniques.