Title

League of Legends Machine Learning with OCI - Model Building with scikit-learn and AutoGluon

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About This Workshop

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In this workshop, we'll show that it’s much easier to get started with a AI/ML than what you would think. In this Hands-On Lab, we’re going to dive deep into AutoML tools that can make developing AI/ML models much easier from the developer's POV. We'll see what's needed to improve a model, and how to integrate it into different data sources, all from a practical standpoint.

Workshop Length

1 hour, 30 minutes

Outline

Getting Started
Lab 1: Introduction
Lab 2: Infrastructure
Lab 3: Model Improvement with AutoGluon
Lab 4: Model Integration
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Prerequisites

Ideally, it's recommended to read through the technical white papers written beforehand: https://github.com/oracle-devrel/leagueoflegends-optimizer/tree/main/articles
Familiarity with Oracle Cloud Infrastructure (OCI) is helpful
Some understanding of AI/ML is helpful but not required
Active Oracle Cloud Account with available credits to use for OCI Data Science
(Optional) Having completed the previous workshop

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