Learner Reviews & Feedback for Anomaly Detection in Time Series Data with Keras by Coursera Project Network

Litteraly awful. A waste of time when you just copy code without explanation. It's actually worse when you know about what you could do, and you compare it to the level of this project. Also, there's no interpretation of the model's results. When you're done writting the code mindlessly, the project is done.

Looks very similar to other courses/tutorials online. Forum questions going into why the method works are not answered.

Coursera should really start auditing these short projects, because they destroy the good reputation from other courses.

If I could , I would have given 0 stars.

The quiz has a question about "image anomaly detection" - not fitting the course.

There is little explanation, especially what the influence of the parameters are. Most of the time one spends typing and the aloted rhyme time is way too short. I was watching at 2x speed (an annotation told to use 1.5x speed) AND WAS STILL NOT FINISHED when the allotted time was over.

Think hard if you want to pay money for that stressed learning pace.

Pathetic experience! I see that this is a good idea executed poorly. Clearly Rhyme is not ready yet. I experienced the following issues. 1. Long connection times for Rhyme. In many cases, the desktop didn't even connect. 2. The keyboard of your machine is not synced with Rhyme's desktop. So, certain keys (e.g. CAPS LOCK) don't work. 3. The instructor doesn't explain why he is doing something, just does it.

Coursera should apologize for wasting my time.

Rhyme is Bogus. The instructor did a fairly good job. Good for a quick refresher. Do not expect any conceptual stuff. It is for people who know the theory and need some practice doing applied DL on Time Series.

1. The platform is not easy to use. The mouse sensitivity is lagging, some shortcuts, like "CapsLock" and the number keyboard cannot be used normally.

2. The instructor didn't explain why he does everything. He just did, and you just need to follow what he typed. After the project, you still didn't learn a lot.

3. I would recommend you just use Youtube to learn the same project and use Google Colab to run everything on your own computer. That way you can learn everything on a better platform for an unlimited time, and for free.

Not very clear and some questions in the forum needs to be answered, however, the instructor did not answer them

When I was taken this guided project, I was attracted by the title (Anomaly Detection in time series), but when I started the project I was very unsatisfied, I found little bit of explanation about the theory behind each steps of coding (no picture, no schema), without any explanation even for dimension of input and output. and finally I was surprised by the time to work on the cloud is limited, and it got me out the cloud before finishing the code. Doesn't recommend it

hardly any explanation for the given model is provided. There are plenty of other tutorials on the web that go into more details.

Full of conceptual errors, the presenter doesn't master the subject, this is obvious. Very disappointed by this project, Coursera used to be better than this!

It is one of the best guided project I came through on coursera. The project is of intermediate level, quite clear and understandable. The instructor from rhyme was quite good. He explained every part, every function and reason behind their use quite clearly. I recommend this to anyone who is already into time series forecasting and wants to improve his/her skills into it.

This course is very well structured and delivered. Progressive introduction of concepts and intuitive description by Snehan really give a sense of understanding even for the more complex area of the training. Amazing course for people looking to understand the functions of an IDS. Definitely will help me in my future modelling efforts.

This guide is incredible, easy to understand for beginners in the field like me, I'm really grateful because it helps me a lot.

It is good. step by step so I can understand. but unfortunately there are no subtitle.

I love how well he explained everything and made it simple to follow

Nice course to learn the use of LSMT and autoencoder combined.

Excellent way of teaching and also good teacher as well

Very well explained. Instructor knows what to do.

An informative course, worth spending time on!

Awesome course, learnt a lot of new things.

Very nice project !!

Very helpful project

very useful course

Clear and concise

Excellent project