Gustavo Millen's repositories
python-books
My notes on some books I read on Python
epileptic-seizure-recognition
Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.
cep-to-coords
Pacote Python para converter CEP em latitude e longitude
time-series-forecasting
Notes on time series forecasting
demo-datasus-streamlit
Demo Application with DataSUS death records and Streamlit
ibge-censo-cep-coordenadas
IBGE - Censo 2010 - Localização e respectivo Código de Setor Censitário
medium_itau_nubank
Repository for the Medium post comparing tweets from Nubank and Itaú
salarios-data-science
Aplicativo Streamlit de exploração dos dados da Pesquisa de mercado de Data Science feita pelo Data Hackers
trends-causal-impact
Analyzing the causal impact of certain interventions by popularity on google trends
vcdepth-bot
Scrapy bot to retrieve MDR data from vcdepth.io
alerting
Easy to use alerting library for Python 3+
auror-core
Azkaban Auror core for flow creation
benchmark_fklearn
Benchmarking fklearn's space_time_split_dataset function
churn-prediction
Some notebooks with Machine Learning techniques applied to Churn datasets available online
covid19-analytics
Analysis of the COVID19 outbreak in Brazil mainly through epidemic and hospitalization models, by the Health Analytics and Prospera consulting business units of Funcional Heatlh Tech.
crowdsaleSemantic
Sample interface for ICO using ReactJS and semantic ui design
fklearn
fklearn: Functional Machine Learning
floc-experiment
Federated Learning of Cohorts (FLoC) - Google's solution for interest based advertising in a world without third-party cookies
lifelines
Survival analysis in Python
management30
Management 3.0 Fundamentals - Course Notes (pt-br)
millengustavo.github.io
Data Science
santander_ctp_kaggle
Repo for ideas on the competition: https://www.kaggle.com/c/santander-customer-transaction-prediction
scattertext
Beautiful visualizations of how language differs among document types.
storytelling-with-data
Plots from the book "Storytelling with data" implementation using Python and matplotlib