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Вернуться к Machine Learning Pipelines with Azure ML Studio

Отзывы учащихся о курсе Machine Learning Pipelines with Azure ML Studio от партнера Coursera Project Network

4.6
звезд
Оценки: 523
Рецензии: 90

О курсе

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....

Лучшие рецензии

MT
15 авг. 2021 г.

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

AT
5 июня 2020 г.

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.

Фильтр по:

26–50 из 89 отзывов о курсе Machine Learning Pipelines with Azure ML Studio

автор: MR. P W

20 июля 2021 г.

Great Course with a Live Project

автор: Teofilus T

6 дек. 2021 г.

this course was very interesting

автор: Jonathan G

30 апр. 2021 г.

Great for beginners like me. <3

автор: Swati C

29 окт. 2021 г.

this is very baneficial for ma

автор: Anthony

24 янв. 2021 г.

Easy to understand and follow.

автор: MD R I

13 сент. 2020 г.

Really Helpful course for me

автор: Dr G N R D

28 мая 2021 г.

excellent and more useful

автор: BIPASHA M

7 июля 2021 г.

It was a good experiment

автор: Wisnu S N

7 мар. 2021 г.

Great project exercise!

автор: Hanifah N A

21 дек. 2020 г.

Amazing! Thank you!

автор: RANJANI R

10 авг. 2020 г.

it is useful for me

автор: Hazra B

27 мар. 2021 г.

This is really 👍

автор: Rishabh R

6 мая 2020 г.

Excellent project

автор: Pal S

17 сент. 2020 г.

Machine kearning

автор: Shani k

16 сент. 2020 г.

Learning machine

автор: JOGAR B T

2 янв. 2021 г.

A great course!

автор: AJIT P

16 сент. 2020 г.

Useful lesson

автор: Nikhil K

16 сент. 2020 г.

Good course.

автор: HAVIN I M H H

12 февр. 2021 г.

good course

автор: Partheepan

9 апр. 2020 г.

very useful

автор: Tien D M

6 апр. 2021 г.

Very clear

автор: Nor

12 сент. 2020 г.

Thank. You

автор: MD M

16 сент. 2020 г.

Very Good

автор: Er. A B S

12 сент. 2020 г.

Excellent

автор: Kamlesh C

23 июля 2020 г.

Thank you