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- Level Beginner
- Duration 3 hours
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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.Auto Summary
Explore predictive modeling with Azure Machine Learning Studio in this hands-on course, ideal for IT and Computer Science enthusiasts. Guided by Coursera, you’ll predict flight delays using weather data from the US Bureau of Transportation Statistics and NOAA, all without writing code. Set up with $200 free credit, access pre-configured cloud desktops, and learn with Python, Jupyter, and scikit-learn. Perfect for North American learners, this 120-minute foundational project offers a practical, browser-based experience.