Predictive Modelling with Azure Machine Learning Studio

4.5 /5

(2 Ratings)

Offered byCoursera

Predictive Modelling with Azure Machine Learning Studio
at
Coursera
Overview

Use Azure Machine Learning Studio to build a predictive model without writing a single line of code

Duration	2 hours
Total fee	₹729
Mode of learning	Online
Schedule type	Self paced
Difficulty level	Beginner
Credential	Certificate

Predictive Modelling with Azure Machine Learning Studio
at
Coursera
Highlights

Get all learning materials, including the interactive workspace and final quiz
Get instant access to the necessary software packages through Rhyme
A split-screen video walkthrough of each step, from a subject-matter expert
Ability to access your cloud desktop across six different sessions

Predictive Modelling with Azure Machine Learning Studio
at
Coursera
Course details

Skills you will learn

Statistics Microsoft Azure Transportation Predictive modeling

Who should do this course?

For learners who are based in the North America region

What are the course deliverables?

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

More about this course

Specifically, students will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA)
Students 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, people do projects in a hands-on manner in your browser.

Predictive Modelling with Azure Machine Learning Studio
at
Coursera
Curriculum

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

Predictive Modelling with Azure Machine Learning Studio
at
Coursera
Faculty details

Snehan Kekre

Snehan Kekre is a Documentation Writer at Streamlit, the fastest and easiest way to build and share data apps. He has authored and taught over 40+ guided projects on machine learning and data science at Coursera. He has also worked as a skills consultant at Coursera, and as content strategist at Rhyme.com.