OpenClaw Masterclass: Install, Build & Deploy Real AI Agents (Udemy.com)

You explained complex NLP concepts in a clear and accessible manner, Notebook provided are properly commented, so very much self-explanatory. Thank you for your dedication and expertise.

This course is best designed for intermediate python developers who have a good understanding of core principles already. I found I needed to replay videos frequently to understand the 'why' behind the code we were writing. I think better delivery of the theory would benefit this course

It is quite good for me, as the explainations are good, and accompanied with good examples that are easy to follow. The only two drawbacks: 1. Content is not up-to-date regarding certain external resources like the twitter API which the free account is not allowing searching for tweets. 2. It would be nice to have the notebooks to enable investing less time in typing the code and more on investigating the values and results.

This course was very average. I don't feel like many of the concepts of NLP were explained to me very well, and some of the material is a little outdated. I got this course for free through my workplace but would have been a little disappointed if I had spent more than a few dollars on the course. My main issue was that while some features were explained (NLTK vs Spacy, Neural Network vs ML, etc), it was never explained why you would use one algorithm/feature over another, why one was used in a project vs the other, or what some of the parameters were even for. That's fine because the end result is having the same project as the instructor - but I don't feel like I gained a whole lot of real-world experience from it. Although the concepts were (in my opinion) not explained thoroughly, the projects were enough to be interesting, so that's good! Overall, I recommend it if you (unlike me) already have experience with NLP and want some projects to do to brush up.

Please give more detailed information in case of Project 6 and Project 7... Rest are good..

NLP concepts are explained in a simple and unambiguous manner. Just enough of theory and good practical lessons. Thanks to the instructors.

Yes. It is in that it reinforces basic concepts and uses Google's Colab platform which is new for me as I tend to use the Anaconda distribution.

Good content

very poor accent.its getting very irritating sometimes

Initially for a few sections it was good which is just a basic but after that the course is not up to the mark, not consistent explanation when neural network explained by one of these instructor. The N-net he explained is more about image and convolution that is also basic, it was not explained well in accordance with NLP. At the end of the course they added panda s, numpy, matplotlib videos to make just increase the length of the course. When I applied for refund they udemy won't allow me for the refund when you buy course they said its 30 day return. Before this I never applied for refund bcoz all courses are good. it's time to say goodbye for udemy.
Looks like they are into just money making business.

It is a very practical course which means the theory is told whilst the practical is being done. It is a good course if one wants a hands-on learning experience with limited explanation, sometimes having it shown makes the concepts easier to understand.

Bad accent so perhaps add subtitles to your courses. Other than that, the practical explanations were good. This course is definitely for beginners due to the very simple projects. Would like to see a chapter with a more complex project!