Chevron Left
返回到 Machine Learning Pipelines with Azure ML Studio

學生對 Coursera Project Network 提供的 Machine Learning Pipelines with Azure ML Studio 的評價和反饋

4.6
612 個評分

課程概述

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....

熱門審閱

MT

2021年8月15日

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

2020年6月5日

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.

篩選依據:

76 - Machine Learning Pipelines with Azure ML Studio 的 99 個評論(共 99 個)

創建者 bejadi u

2020年6月21日

創建者 James J H O

2020年12月19日

創建者 Colin C

2021年3月17日

創建者 Aarush S

2022年2月22日

創建者 Padmalochan T

2020年10月1日

創建者 Nyan L H

2020年12月21日

創建者 Rafael

2021年3月29日

創建者 Kleider S V G

2022年2月22日

創建者 Ashutosh

2020年9月14日

創建者 Anshula S

2021年7月19日

創建者 Shashank

2021年5月7日

創建者 Chandan S

2020年11月19日

創建者 Sarnav K

2021年6月29日

創建者 PREM K N

2020年10月25日

創建者 MASOOM M

2021年1月23日

創建者 mahesh r k

2021年7月23日

創建者 ASHWIN P (

2021年8月10日

創建者 Deleted A

2020年10月14日

創建者 Anurag k

2020年9月14日

創建者 Krister M

2022年5月12日

創建者 Laura M d A M

2020年10月2日

創建者 Rutuja P

2021年7月1日

創建者 Ashish S

2020年9月19日