In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning web service. In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions. This is the second course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments! This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
MT
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
JB
Vvery good course jjkkkmmnmmmkjjjbgvfffddďdddddxxccxxxçxxxxxxxxxxxxdddrr5ygvvgg
KJ
It was a really good project. Instructions were clear and i was able to complete it without much trouble.
AT
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.
VK
Excellent for understanding machine learning pipelines. Just hope the cloud workspace is less laggy next time.
HJ
project helped me to understand how professional projects go under
RS
Great Teaching!!! Easily Helps to understand the AzureML Pipleline
GG
This is a best app for everyone and learn many things about our courses
IP
Focusing on the practical side. Need to get theoretical knowledge from outside. Overall a good course.
PK
I m learn many things in the coursera. This is one of the best app provide for everyone.
HP
overall better time with the instructor through out the project timeline and the things given were too much overwhelming for us begineers!
RR
Very hands-on. Should have a little bit more theory though
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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