gusbruschi13
Economist and Data Scientist Currently working at Vybrant (Dell). Machine Learning, Econometrics, Causal Inference, Python, SQL, Spark, R, Cloud.
Vybrant (Dell Technologies)São Paulo (SP) - Brazil
Pinned Repositories
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.
Conformal-Prediction
Repositório contendo materiais de estudo sobre Predição Conforme.
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
Interpretable-Machine-Learning
Repositório contendo materiais de estudo sobre Explicabilidade e Interpretabilidade de Modelos de Machine Learning.
mlops_project
an end-to-end mlops project
PoD_MeetUp_GIS_in_Python
Repositório do PoD MeetUp: "Data Science GeoEspacial no Python - Uma Introdução ao GIS".
gusbruschi13's Repositories
gusbruschi13/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
gusbruschi13/201801-r-para-ciencia-de-dados
Repositório com materiais de aula e exercícios para o curso "R para Ciência de Dados" ministrado em Janeiro e Fevereiro de 2018 no IME-USP
gusbruschi13/AI-Law-Minicourse
Mini-course for SCU Law
gusbruschi13/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
gusbruschi13/causal-inference-tutorial
Repository with code and slides for a tutorial on causal inference.
gusbruschi13/Datasets-D-TISS---ANS
This repository contains programs used to extract and modifies datasets from D-TISS - ANS.
gusbruschi13/dataviz
A book covering the fundamentals of data visualization.
gusbruschi13/docker-introducao
Projeto criado durante a videoaula do canal Programador a Bordo https://www.youtube.com/watch?v=Kzcz-EVKBEQ
gusbruschi13/free-data-science-books
Free resources for learning data science
gusbruschi13/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
gusbruschi13/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.
gusbruschi13/mf-eng-public
gusbruschi13/mlr
mlr: Machine Learning in R
gusbruschi13/Multiple-Criteria-Decision-Aid
Source code for Multiple Criteria Decision Aid by Jason Papathanasiou, Nikolaos Ploskas
gusbruschi13/PowerBI-DataScience
Repositório do Curso Microsoft Power BI Para Data Science
gusbruschi13/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
gusbruschi13/quant-econ
QUANTITATIVE ECONOMICS, by John Stachurski and Thomas J. Sargent
gusbruschi13/R-Google-Analytics
Scripts to start working with data from Google Analytics in R
gusbruschi13/slidex
Convert PowerPoint Slides to xaringan (remark.js) Slides
gusbruschi13/TCC_Economia_UFABC_2017
Códigos utilizados para gerar os gráficos presentes na minha monografia para a conclusão do Bacharelado em Ciências Econômicas da UFABC.
gusbruschi13/textnets
R package to perform automated text analysis using network techniques
gusbruschi13/WeddingRiskModel
Creation of a Shiny app to measure the risk uncertainty with wedding guest invitations.
gusbruschi13/workshops
IQSS Data Science Services workshop materials
gusbruschi13/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow