I could not access this course because I am outside the US.

I have learn most quality things and practical knowledge with machine learning pipelines with Azure ML studio which is very useful for our future & It can help me in my life.

It's a good first aproach for the topic. Well explained, fast and interesting. I recomend it (my 3 stars is due that I have previous knowleadge so I didn't learn a lot yet practised).

Great Teaching!!! Easily Helps to understand the AzureML Pipleline

Very interesting, the only issue was the visualization on my laptop screen (less than a half)

This guided project is not helpful until the instructor makes another video using the new link as many thing were missing from the azure studio then which is being shown in the project.

It was an excellent learning from a novice like me in the last part of the project I got lagged but the rest I learned thank you i hope i can attend more projects like this to gain more experience

class was understandable.simple and helped

thank you for this course

I want to rate it zero, in the video they refer the first course of this series, but didn't provide anything regarding that and now I want to unenroll the course but there is no option. such a bad experience.

Machine Learning Pipelines with Azure ML Studio is an excellent course that provides a comprehensive overview of machine learning pipelines and how to build and deploy them using Azure ML Studio. The course covers a wide range of topics, including data preparation, feature engineering, model training, hyperparameter tuning, and deployment. The instructors have done an excellent job of explaining complex concepts in an easy-to-understand manner, making the course accessible to both beginners and experts in the field.

The course also provides hands-on experience in using Azure ML Studio, which is a powerful tool for building and deploying machine learning models. The labs and assignments are well-designed and help reinforce the concepts learned in the lectures. The course also includes real-world use cases and examples that help demonstrate the practical applications of machine learning pipelines.

Overall, I highly recommend this course to anyone looking to learn more about machine learning pipelines and how to build and deploy them using Azure ML Studio. The course is well-structured, comprehensive, and provides valuable insights into the field of machine learning.

Excellent speed and great clarity of Instructions. Two requests: Please add the setup project link on the first page and Review the answer to Quiz Q5.

I would highly recommend this course to people who have believe ML is beyond them as once they do this they will gain real hands-on confidence and aim for more things. Many thanks

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Great guided project to help me better understand how to use Machine Learning Pipelines and prediction using Azure ML studio. Awesome example of project. Instructor is great guiding students with step by step instructions that are easy to follow.

The guided project was fun! The instructor kind of seemed nervous at time but he stiill did an awesome job. I know that teaching machine learning is not exactly the easiest thing in the world, and yet, he still pulled it off. Great job!

This one is really good. Snehan has been exceptional in explaining the steps and the reason behind it. The only improvement I can suggest is to load dataset through some other method rather than using the sample dataset.

Amazing introduction to what can be done with Machine Learning for people who have no background in Machine Learning — and for those who have it too.

Totally recommend completing this course. Short and sweet, easy to learn. All the best to future learners and sincere gratitude to the tutor.

overall better time with the instructor through out the project timeline and the things given were too much overwhelming for us begineers!

Excellent for understanding machine learning pipelines. Just hope the cloud workspace is less laggy next time.

I am very happy with this class, so that I can improve and develop my skills in this machine learning area