Gustavo Bruschi's repositories
PoD_MeetUp_GIS_in_Python
Repositório do PoD MeetUp: "Data Science GeoEspacial no Python - Uma Introdução ao GIS".
Interpretable-Machine-Learning
Repositório contendo materiais de estudo sobre Explicabilidade e Interpretabilidade de Modelos de Machine Learning.
awesome-causality-algorithms
An index of algorithms for learning causality with data
AWS_IAM_Automation
A small IaaC to migrate on-prem users to AWS using Terraform and Ansible.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-time-series
list of papers, code, and other resources
mlops_project
an end-to-end mlops project
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
deep_learning_for_structured_data
Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data
DeepLearningCourses
This repository contains classes and notebooks with tutorials and projects in the Deep Leaning area.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
DVC_testing
Testes com a ferramenta DVC (ou Data Version Control). É uma ferramenta de gerenciamento de experimentos de ML e dados que aproveita o conjunto de ferramentas de engenharia existente com o qual você já está familiarizado (Git, CI/CD etc.).
earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Jupyter-Treinamento-BigData
Material Disponibilizado para Laboratórios do Curso de Big Data
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
TCC_Economia_UFABC_2017
Códigos utilizados para gerar os gráficos presentes na minha monografia para a conclusão do Bacharelado em Ciências Econômicas da UFABC.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Treinamento-BigData-TuringLab
Treinamento com teoria e pratica sobre modelagem, autoML, ML e ETL no ambiente Turing Lab
vis-academy
A set of tutorials on how our frameworks make effective data visualization applications.
WeddingRiskModel
Creation of a Shiny app to measure the risk uncertainty with wedding guest invitations.
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker