pulinduvidmal/AutoML-with-AWS-AutoGluon

AutoGluon simplifies ML model development by automating tasks like model selection, tuning, and deployment. With support for various data types and seamless AWS integration, it enables easy prototyping and scalable deployment. This repository contains the core functionality and resources for utilizing AutoGluon effectively.

AutoGluon: Simplified Machine Learning with AWS Integration

AutoGluon is a powerful open-source AutoML (Automated Machine Learning) library that simplifies the process of building and deploying machine learning models. By automating many of the repetitive tasks associated with model development, AutoGluon enables users to prototype and train high-quality ML models with just a few lines of code.

Features

Easy Prototyping

Quickly prototype machine learning models using minimal code.

Versatility

Support for text, image, and tabular datasets enables diverse ML applications.

Automated

Automation of model selection, hyperparameter tuning, and deployment streamlines the ML workflow.

Integration with AWS

Seamless integration with Amazon Web Services (AWS), including Sagemaker Autopilot, for scalable model training and deployment.