Chevron Left
Volver a Machine Learning Pipelines with Azure ML Studio

Opiniones y comentarios de aprendices correspondientes a Machine Learning Pipelines with Azure ML Studio por parte de Coursera Project Network

662 calificaciones

Acerca del Curso

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....

Principales reseñas


15 de ago. de 2021

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


5 de jun. de 2020

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.

Filtrar por:

76 - 100 de 101 revisiones para Machine Learning Pipelines with Azure ML Studio

por sowmi b

21 de sep. de 2022

por bejadi u

21 de jun. de 2020

por James J H O

19 de dic. de 2020

por Colin C

17 de mar. de 2021

por Aarush S

22 de feb. de 2022

por Padmalochan T

1 de oct. de 2020

por Nyan L H

21 de dic. de 2020

por Rafael

29 de mar. de 2021

por Kleider S V G

22 de feb. de 2022

por Amadhea Y

28 de nov. de 2022

por Ashutosh

14 de sep. de 2020

por Anshula S

19 de jul. de 2021

por Shashank

7 de may. de 2021

por Chandan S

19 de nov. de 2020

por Sarnav K

29 de jun. de 2021

por PREM K N

25 de oct. de 2020


23 de ene. de 2021

por mahesh r k

23 de jul. de 2021


10 de ago. de 2021

por Deleted A

14 de oct. de 2020

por Anurag k

14 de sep. de 2020

por Krister M

12 de may. de 2022

por Laura M d A M

2 de oct. de 2020

por Rutuja P

1 de jul. de 2021