Predictive Modelling with Azure Machine Learning Studio
9,741명이 이미 등록했습니다.
9,741명이 이미 등록했습니다.
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.
Artificial Intelligence (AI)
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.
분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.
AG 제공2020년 6월 16일
The educational activities are designed to ensure that there must be a successful take away for participants. I have greater confidence with incorporating educational technologies in my teaching.
TT 제공2020년 9월 25일
We got great opportunity to practice Azure Machine Learning environment. Thank you.
RS 제공2021년 2월 20일
Perfect presentation and quality material presented. Loved every aspect.
UG 제공2020년 10월 15일
model training model is not full explain it as explain in course