Predictive Modelling with Azure Machine Learning Studio
Build a predictive model using Azure ML Studio
Demonstrate a working knowledge of setting up experiments on Azure ML Studio
Operationalise machine learning workflows with Azure's drag-and-drop modules
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.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction and Setup Instructions
Importing the Data Sets
Scrubbing Missing Values
Eliminating Target Leaks
Conversion to Categorical Features
Preparing Features to be Joined with Weather Data
Preprocessing the Weather Dataset
Joining Both Datasets
Training and Evaluating the Model
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM PREDICTIVE MODELLING WITH AZURE MACHINE LEARNING STUDIO
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.
What a nice way to learn, understand and practice along with the instructor. I like this format.
We got great opportunity to practice Azure Machine Learning environment. Thank you.
Amazing ML project. I'm so excited by doing my first hands on project in Coursera.
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