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  • 👋 Hi, I’m @fabioandriolo
  • 👀 I’m interested in Python and R Language for statistical analysis for research projects and AI for identify elements in histological images.
  • 🌱 I’m currently learning AI
  • 💞️ I’m looking to collaborate on ...
  • 📫 How to reach me [email protected]

Fabio Andriolo's Projects

bazel icon bazel

a fast, scalable, multi-language and extensible build system

br-dwgd icon br-dwgd

Brazilian Daily Weather Gridded Data new version

brazilmaps icon brazilmaps

A R package with different geographic levels of brazilian maps

cdatanet icon cdatanet

Estimate model of social network with counting responses

coinr icon coinr

:exclamation: This is a read-only mirror of the CRAN R package repository. COINr — Composite Indicator Construction and Analysis. Homepage: https://bluefoxr.github.io/COINrDoc/ Report bugs for this package: https://github.com/bluefoxr/COINr/issues

datasets icon datasets

A collection of datasets of ML problem solving

dicom-to-jpg icon dicom-to-jpg

Convert all DICOM (.dcm) images in a folder to JPG/PNG and extract all patients information in a '.csv' format in a go using python.

epirhandbook icon epirhandbook

An R package to accompany the Epidemiology R Handbook, a free open-access R reference manual for applied epidemiologists and public health practitioners

geo-maps icon geo-maps

🗺 High Quality GeoJSON maps programmatically generated.

geobr icon geobr

Easy access to official spatial data sets of Brazil in R and Python

gtree icon gtree

Game Theoretic Representation of Economic Experiments

intro-to-r icon intro-to-r

Scripts and data to go along with introductions to R

kableextra icon kableextra

Construct Complex Table with knitr::kable() + pipe.

labs icon labs

Rmd source files for the HarvardX series PH525x

likert icon likert

Package to analyze likert based items.

occupancy-detection-data icon occupancy-detection-data

This is a repository for data for the publication: Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, Véronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.

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