Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.

The user-friendly command line shell.

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

A library for training and deploying machine learning models on Amazon SageMaker

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning / AI se…

Enterprise-grade, production-hardened, serverless data lake on AWS

AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Statistical data visualization using matplotlib

scikit-learn: machine learning in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

📦 pip module containing code shared across Serenata de Amor's projects

🕵 Fighting corruption with data and SCIENCE!

Pioneer robot with a simple autonomous navigation and teleoperation control using an Android device sending the gyroscope generated information.

Peer Assessment 1 for Reproducible Research

Plotting Assignment 1 for Exploratory Data Analysis

Repository for Programming Assignment 2 for R Programming on Coursera