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

Train and deploy ML models in the cloud

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.

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

AI capability development platform using AutoML and AutoGluon

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

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

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.