This is an exceptional course , I stuck many times but finally I am able to complete my all submission in time . Thanks everyone including my study mates , coursera and those exceptional instructor of NLP . I'm vary much satisfied and happy .

once again THANKS....

Good course overall. The programming assignments were very beginner-friendly, and helped me dive into the subject material with relative ease. The instructions and explanations provided with the Python code were key to success. Kudos on such a good course design!

I have learned three times the videos, and made notes accordingly. The most of the time was spent on the assignment part. I have more confidence in learning NLP. What I have learned in this course is very useful. Like it so much!!! Thanks Dr. Ng and instructors!

I found the course to be very complete, clear and orderly. It helped me to reinforce basic concepts of Machine Learning and deepen in data processing techniques for NLP. Surely this course will give me many tools to get the position I am interested in getting.

Very good course content with a perfect course outline to learn with minimum background knowledge...its good if lecture videos have more detail explanation regarding the usefulness but it will not affect the learning since with doing assignments it can gain.

The course is well paced. The videos are very crisp. We are also taken through the paces by actually buidling the algorithms rather than relying on existing scipy libaries, which is a great way to understand the details of the algorithms and philosophies.

this course is very good to know methods and algorithms. output of assignments are interesting but you will not involve in every aspect and it's hard to tell that after this course you can deploy your own model.

generally i consider this course as good one

Very nice, classes were perfect and short just the way I like it. Both theoritical and practical experience was good, I like how they have labs mathematical derivations in between the lectures before the final assignments. As expected from deeplearning.ai

Although this course is easy and fundamental, I think this is a good entry for NLP. The instructions are detailed and this is a good place to practice numpy module and learn something fascinating about NLP. I am looking forward to the next three episodes

A course where you will get the opportunity to understand difficult concepts in an easy way. I have attended several courses that relate to the same topic but nothing is on par with this one. Kudos to the efforts put to produce such an amazing course!

Thorough treatment of the subject matter. I liked the buildup from basic sentiment classification using Logistic Regression and Naive Bayes models, which then led to vector space classification. Appreciated the breakdown of how the math works.

This course is comprehensive, exceptional and easy to understand. I Really enjoyed the course it is well detailed and covers the fundamentals basics behind NLP and sentiment analysis. Thanks Coursera Team the the great impact. I LOVE COURSERA

The course's curriculum is very well designed. The readings are very illustrative and comprehensible. The assignments help you to understand the theories, yet it is so simple to get going. This course helps me a lot as a beginner in the field.

Very good course to learn about traditional approaches on NLP which are very efficient for some problems. The lectures are easy to understand with video and explanations. Notebook are very good way to hand on real world problem and solutions

The course was well structured. It gave a good introduction to basics and provided strong fundamentals, which can be improved on with detailed study. The programming assignments stressed mostly on reinforcing knowledge, which was refreshing.

It was a pretty good introductory course on Natural Language Processing. I especially liked implementing PCA from scratch rather than just calling PCA function from a library. I look forward to the rest of the courses in the specialization.

It was indeed one of the best experience. The last assignment was challenging but somehow made it. I would recommend to first get command on python and machine learning basics before starting this course, otherwise the course is awesome !!

Deeplearing.ai's deep learning specialization was so good that I had to take this course as well. Fair to say its the best course on NLP by miles. Big ups to the fantastic instructors for delivering each concept so wisely and smoothly.

Thank you for your wonderful lecture!

NLP is an unfamiliar field for me, but detailed suggestions and comments led me understand a lot.

I am glad that we have taken the first step in the state on art natural language processing ! ! !

I love that through this course, I was able to understand how to implement algorithms like PCA from scratch. This course really teaches you the intuitive sense behind some of the popular algorithms used in NLP. Highly recommend it!!

A very good course, interesting subjects and notebooks, very well explained, holding your hands thru difficulties, very good discussion groups.

I think the last subject in last week (lsh) is a bit overweighted in the final notebook.

This course is great. The videos are so clear and they teach about everything. The guests they have are a gift for those who are starting. And the exercises are very complete and difficult enough to practice everything you learned.

The course was so enthusiastically presented that it made me to put concerted efforts to complete the course under 3 weeks instead of 4 weeks. This is an excellent course. I recommend it by all means from my personal experience.

Good course. Learned a lot. like all other deepLearning.ai courses this teaches through implementation and explanation. learned about Text preprocessing, naive bayes' model, vector space models and using planes to optimize Knn.

A good mix of video lectures, readings, lab, and assignments. I like the pace of each. I especially like the week 1 and 2 in which each lecture is followed by reading material that summarize the key concepts from the lecture.