Applied Text Mining in Python

Will appreciate if they can cover more content like the previous machine learning course.

I would also recommend using Professor Andrew Ngs Machine Learning course as a guide for how to create great programming assignments, with detailed PDFs (typically 5-6 pages) describing what is to be done AND WHY (linking back to the lectures) and "telling a story" that is cohesive and leads the student to create something end-to-end (in small steps) that does something amazing by the end.

The topic is interesting, however as with the Machine Learning course from UM, this one suffers from too much theoretically focused graded assignments, and would benefit from more practical real life example tasks.

Understood Machine Learning as well.

For further learning, I discovered the NLP course in the Advanced Machine Learning specialization.

I am a Self Driving Car Engineer, I have worked with deep learning but i wanted to know about Machine Learning So i was exploring here.

Far superior to their machine learning course.

Overall, was a great course that was a good intro to the text machine learning tools in Python.

Repetition of content already introduced in previous courses, i.e., machine learning basics.

Nothing related to machine learning/using Python was discussed in the class (may be 2%).

I wish they emphasized on the machine learning more.

very powerful course for machine learning professionals.

Really provides practical application and ideas on how to use tools in real world.

*Unlike other courses in the specialization, this one doesn't have good links to interesting academic papers or real world applications.

Nice, but first assignment shouldn't be considered here I think Assignment grading is way too rigid and not reflective of real world issues.

The assignments were a little complex 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.

Even the assignments didn't provide clarity on how the results are to be interpreted and what could be ther real world implications.

Curriculum is valuable but the course quality isn't on par with the other Applied Data Science using Python courses by University of Michigan.

Would be good for everyone if this was removed from the (otherwise great) series "Applied Data Science in Python".

I have been working through the entire specialization, Applied Data Science with Python.

I have learned a lot, but last week had no tutorial example covering the topic and w4 assignment was not literally described resulting in spending a huge amount of time on trying which possible solutions will be accepted by autograder.

You would need to spend about the same amount of time googling how the packages work as I have never took the course.

There were a number of ambiguities and inaccuracies in the assignments that wasted a considerable amount of time for not just me but a lot of people - see the forums Great!

Too much of strange bugs with the auto grader.

But all the students faced issues during the assignment submissions because of the auto grader.

Nice Course, good learning Course is great except for the auto grader issues.

A lot of errors in auto graders, assignments.

tired of auto grader,...and prof not interested Excellent course.

This course give the basic idea in each module existed in text and natural language processing kits.

I am a Data Engineer with a degree in Computer Science who wanted to learn more about Natural Language Processing for a small project I wanted to build.

Natural language processing is an exciting field and I think there is a lot more potential to enthuse and engage students.

Assignments and resources are of great use Its still an elementary course for natural language processing .

Thank you for this amazing course on Natural Language Processing using NLTK Good Excellent course as an introduction to text processing using Python.

NICE COURSE AND A GOOD INTRODUCTION TO THE NLP ALGORITHMS IF you want to learn text mining this is the best place for your first step Interestng topics, well taught.

very good course to learn text mining basics using python Poorly constructed course overall.

The first three weeks I really learned a lot, but the last week I don't fully understand the content.

Autograder is a disadvantage that sometimes can take many hours to figure out.

You have to spent days to figure out the right answer.

I would say it is more of a process to “try to figure out what the instructor is asking for”.

For examples, please visit the discussion forums.

A lot of exercises have unclear instructions (see discussion forums).

The homeworks were confusing and often poorly worded, and from what I saw from the forums, I wasn't the only one who was left baffled.

All 4 assignments are poorly worded in such a way that it's impossible to pass them without using the discussion forums.