In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning web service. In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions.
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Machine Learning Pipelines with Azure ML Studio
Taught in English
![Snehan Kekre](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/30/b894a5e9eb4ed2bfa14d5ac3747af9/me.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
Instructor: Snehan Kekre
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What you'll learn
Pre-process data using appropriate modules
Train and evaluate a boosted decision tree model on Azure ML Studio
Create scoring and predictive experiments
Deploy the trained model as an Azure web service
Skills you'll practice
Details to know
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Guided Project
Recommended experience
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See how employees at top companies are mastering in-demand skills
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
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About this Guided Project
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 Project Overview
Data Cleaning
Accounting for Class Imbalance
Training a Two-Class Boosted Decision Tree Model and Hyperparameter Tuning
Scoring and Evaluating the Models
Publishing the Trained Model as a Web Service for Inference
Recommended experience
A basic understanding of machine learning workflows.
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.