Chevron Left
Predictive Modelling with Azure Machine Learning Studio(으)로 돌아가기

Rhyme의 Predictive Modelling with Azure Machine Learning Studio 학습자 리뷰 및 피드백

4.1
별점
24개의 평가
6개의 리뷰

강좌 소개

In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning 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: - 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....
필터링 기준:

Predictive Modelling with Azure Machine Learning Studio의 6개 리뷰 중 1~6

교육 기관: Maurice B

Apr 05, 2020

Introduction to Micrsoft Azure ML pipeline's base functions without programming skills. Good for mirroring DOFs when using own python codes or other pipelines.

교육 기관: Ariadne R C

May 17, 2020

Really intercactive and explicative course on how to use the Azure Machine Learning Studio basics. Absolutey recommended.

교육 기관: Marie h

Apr 02, 2020

Awseome and easy to understand

교육 기관: RAKESH K S

Apr 08, 2020

Video is plying Very badly and time limit is low.

교육 기관: Hasan N

May 02, 2020

lets say it is simple workshop

교육 기관: Richard B

May 14, 2020

Good tutor, but overally not great as (i) not using latest version of AML; and (ii) Good coverage of data manipulation but way too brief on model build/test/train. This course would be better titled 'manipulating data in AML'