Fast and Accurate ML in 3 Lines of Code

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Traffic analysis for Tor-based malware detection and classification

TSForecasting: Automated Time Series Forecasting Framework

Corporate Credit Rating Prediction with AWS SageMaker JumpStart

Deploy automl models for tabular tasks on AWS Sagemaker with AutoGluon

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

A code-free AutoML pipeline with AutoGluon, Amazon SageMaker, and AWS Lambda.

No description provided.

Deploy AutoML models for image classification on AWS Sagemaker with AutoGluon

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

This repository shows how to use AWS step functions to train and deploy Autogluon tabular models on Amazon SageMaker

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

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AI capability development platform using AutoML and AutoGluon

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

Predicting e-commerce session value using behavioral data and ML (CatBoost & AutoGluon) for revenue insights and anomaly detection.

Time Series Forecasting app that predicts solar energy generation potential for homeowners across all 5570 Brazilian cities based on historical solar irradiation data

In this project, you'll use the AutoGluon library to train several models for the Bike Sharing Demand competition in Kaggle. You will be using Tabular Prediction to fit data from CSV files provided by the competition.

Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.

Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

predict bike sharing demand using the AWS AutoGloun Framework

This shows how to visualize the stack ensemble model trained by AutoGluon.

AutoML-based prediction of 30-day readmissions in diabetic patients using ensemble learning with AutoGluon.

This project demonstrates the use of AutoML and Explainable AI (XAI) to predict credit default risk for a large-scale dataset. The goal is to build an interpretable machine learning model using AutoGluon, XGBoost, and LightGBM with SHAP for model interpretability.

Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction

Projects from AWS & Udacity Machine Learning Scholarship

Binary Classification problem. Contains Classifiers from various AutoML libraries such as AutoGluon, FLAML, Lazypredict, & TPOT

This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.

AWS Machine Learning Engineer Nanodegree