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AutoGluon is one of the SOTA open-source AutoML libraries developed by Amazon Web Services (AWS). It allows you to train high-quality machine learning models with just a few lines of code. AutoGluon automates:
Model selection: Tests algorithms to find the best fit.
Hyperparameter tuning: Optimizes model settings for performance.
Feature preprocessing: Handles missing values, categorical data, and scaling.
Ensembling: Combines models to boost accuracy.
It supports tabular data, text, images, and more. For this tutorial, we’ll focus on tabular data (e.g., spreadsheets)