AntonyBorel
Muséum National d'Histoire Naturelle (Paris); Eötvös Loránd University (Budapest)Budapest, Hungary
Pinned Repositories
A-way-to-break-bones-The-weight-of-intuitiveness
This repository provide the code and raw data presented in the paper "A way to break bones? The weight of intuitiveness" (https://doi.org/10.1101/2020.03.31.011320)
Coursera-Applied-Data-Science-Capstone
This repository presents the projects realized during the Coursera course called Applied Data Science Capstone
Laterality
:exclamation: This is a read-only mirror of the CRAN R package repository. Laterality — Functions to Calculate Common Laterality Statistics in Primatology
ML_scheduler
A Machine Learning motor intended to predict upcoming free space in schedules for corporations and organizations by observing previous calendar-data
New-evidence-of-Neandertal-butchery-traditions
This repository provide the code and raw data presented in the paper "New evidence of Neandertal butchery traditions through the marrow extraction in southwestern Europe (MIS 5-3)"
scipy2018-geospatial-data
AntonyBorel's Repositories
AntonyBorel/New-evidence-of-Neandertal-butchery-traditions
This repository provide the code and raw data presented in the paper "New evidence of Neandertal butchery traditions through the marrow extraction in southwestern Europe (MIS 5-3)"
AntonyBorel/A-way-to-break-bones-The-weight-of-intuitiveness
This repository provide the code and raw data presented in the paper "A way to break bones? The weight of intuitiveness" (https://doi.org/10.1101/2020.03.31.011320)
AntonyBorel/Coursera-Applied-Data-Science-Capstone
This repository presents the projects realized during the Coursera course called Applied Data Science Capstone
AntonyBorel/Laterality
:exclamation: This is a read-only mirror of the CRAN R package repository. Laterality — Functions to Calculate Common Laterality Statistics in Primatology
AntonyBorel/ML_scheduler
A Machine Learning motor intended to predict upcoming free space in schedules for corporations and organizations by observing previous calendar-data
AntonyBorel/scipy2018-geospatial-data