bmservilha

mlflow

Open source platform for the machine learning lifecycle

ciencia-da-computacao

🎓 Um caminho para a educação autodidata em Ciência da Computação!

onedrive

OneDrive Client for Linux

dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

SynapseML

Simple and Distributed Machine Learning

padroes-de-commits

Padrões de commits

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

pingouin

Statistical package in Python based on Pandas

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

LearningSparkV2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

practical_cheminformatics_tutorials

Practical Cheminformatics Tutorials

awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

toad

ESC Team's credit scorecard tools.

fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

awesome-pydantic

A curated list of awesome things related to Pydantic! 🌪️

sql_book

Code repository for the book SQL for Data Analysis

databricks-sdk-py

Databricks SDK for Python (Beta)

Awesome-Deep-Graph-Anomaly-Detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Machine-Learning-Engineering-with-Python-Second-Edition

desbravando-pandas

Curso de Pandas criado em conjunto com o Instituo Aaron Swartz

mlops-best-practices

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

DockerCompose-SqlServer-DBInitialization_DadosGeograficos

Exemplo de criação de ambiente do SQL Server com Docker Compose, incluindo a execução de scripts de inicialização com a imagem mcr.microsoft.com/mssql-tools.

IngestaoMercadoBitcoin

Script para ingestão de dados do Mercado Bitcoin

PyCatKin

PyCatKin is a class-based Python toolset for catalysis kinetics calculations. It includes modules for energy span analysis and mean-field microkinetic modelling with ideal reactor models.

DockerMSSQLServer

comporgchem

Computational Organic Chemistry

projeto_teo