Understand various AWS AutoGluon presets
Leverage AWS AutoGluon to perform AutoML and prototype several machine learning classification algorithms
Evaluate several Trained Classifier Models Performance by visualizing a Model Leaderboard
Hello everyone and welcome to this new hands-on project on AutoML with AutoGluon. In this project, we will use a power library known as AutoGluon to train several machine learning models to solve classification type problems. AutoGluon is the library behind Amazon web services autopilot, and it allows for quick prototyping of several powerful models using a few lines of code. You can add this project to your portfolio of projects which is essential for your next job interview.
Python Programming
Machine Learning
Statistical Classification
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the Problem Statement
Import Libraries and Datasets
Perform EDA and Visualization
Practice Opportunity #1 [Optional]
Perform Data Preparation
AutoGluon 101
AutoML with AWS AutoGluon
Evaluate Trained Model Performance
Practice Opportunity #2 [Optional]
Final Capstone Project
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
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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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