My current data engineering portfolio. Includes projects spanning ETL, orchestration and dashboarding.

A collective list of free APIs

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Curso de SQL do Zero com dados da Gamers Club

Template Para a Python Week 2002 - 25 a 29 de Abril na LINUXTips

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…

Collection of useful data science topics along with articles, videos, and code

This Example demonstrates how to build a cross-account Data Pipeline using terraform, kinesis, s3 and Amazon EMR

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

Begin your Data Engineering journey

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Streamlit — A faster way to build and share data apps.

List of Data Science Cheatsheets to rule the world

Trilha de Estudos para Machine Learning Engineers

Download brazillian investment funds and their benchmarks data from CVM and analyze their performance with pre-built functions.

Exemple of how to use requests and beautiful soup for web scraping

Pytest in IPython notebooks.

Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner

WEBSCRAPING

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

A machine learning project/exercise. Financial data was collected, cleaned, treated and used in 2 different ML models, in an attempt to predict a specific candlestick pattern used in currency trading.

All Algorithms implemented in Python

Repositório com algumas funções de econometria em Python

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

VS Code Jupyter extension

Links e materiais disponibilizados como conteúdo adicional para os estudos nos treinamentos da AWS.

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.