Using MLJ 2. Model Composition

The “Using MLJ” video series is a practical introduction to MLJ, the leading, general purpose, machine learning toolbox for Julia users, presented by one of its co-creators. “Using MLJ 2. Model Composition” introduces pipelines and model wrappers, which help to streamline workflows and mitigate data leakage. Code and slides: https://juliaai.github.io/MLJTutorial... Chapters: 00:00 Introduction 00:13 Goals 01:28 Prerequisites and Getting Help 02:12 Composite Models Defined 04:28 Model Pipelines 06:07 Data Leakage 09:00 Target Transformations 13:10 Live Coding: Pipelines 19:11 Live Coding: Target Transformations 21:01 Other Model Wrappers Previous: Using MLJ 1. Basics:    • Using MLJ 1. Basics   Next: Using MLJ 3. Model Tuning:    • Using MLJ 3. Model Tuning