Gustavo Bruschi's repositories
Conformal-Prediction
Repositório contendo materiais de estudo sobre Predição Conforme.
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.
ACIC23-competition
Data for and description of the ACIC 2023 data competition
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
causal_inference_webapp
Repositório destinado a aplicar a tópicos de inferência causal em um web app
DALEX
Descriptive mAchine Learning EXplanations
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
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)
olist-ml-models
Projeto de Machine Learning do início ao fim no contexto de um e-commerce
QA_B3
Question Answering B3 products
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.
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker