BB1464
📊 🌐 🧑🏫I am an agronomist and data scientist with an interest in bayesian statistics, machine learning, crop modelling and geospatial analysis.
Research Assistant at International Institute of Tropical AgricultureIbadan
BB1464's Stars
Rdatatable/data.table
R's data.table package extends data.frame:
posit-dev/positron
Positron, a next-generation data science IDE
ddsjoberg/gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources
Compendium of free ML reading resources
prisma-flowdiagram/PRISMA2020
Produce PRISMA-2020 compliant flow diagrams
danhalligan/ISLRv2-solutions
Solutions to "An Introduction to Statistical Learning with Applications in R second edition"
BristolMyersSquibb/blockr
Composable, extensible no-code UI
markjrieke/2024-potus
repo for constructing a 2024 presidential election forecast
tylermorganwall/raybevel
3D Bevels, Rooftops, Inset Polygons, and Straight Skeletons in R
mcanouil/quarto-github
Use GitHub short references (commits, issues, discussions, and pull requests) directly into your Quarto documents.
EmilHvitfeldt/talk-branded-quarto
ilri/DSpace
Fork of the official DSpace repository. DSpace powers the CGIAR outputs repository (CGSpace). This repository contains local modifications to the DSpace source code.
ats/quarto-keeper
Like a Trapper Keeper, but in Quarto and for conferences
peterincan95/geonodesvis
Visualize geospatial data with Blender Geometry Nodes
AlbertRapp/my_quarto_presentation_default
milos-agathon/carbon-emissions-per-capita
Do you want to learn how to measure the carbon footprint of different regions around the world using R? In this repo, I'll show you how to combine the gas emissions data from EDGAR version 8 and population data from GHSL to calculate subnational carbon emissions per capita for any country in the world using zonal statistics in R.
z3tt/dataviz-nc3
bydata/football_data
Random scraping of football data
lddurbin/data-eng-project2
My second attempt at the Data Engineering Zoomcamp project
milos-agathon/map-urban-zones
In this repo, I'll show you how to use the GHS built-up characteristics dataset, which provides information on the spatial distribution and morphology of built-up areas around the world. You'll learn how to use ggplot2 in R to create maps of Morphological Settlement Zones, which are clusters of built-up cells with similar characteristics.
lfdelgadom/cassava_nirs
EiA2030/dc_dashboard
Repository for monitoring data collection.
EiA2030/source_data
Source available data from open repositories (CHIRPS, NASA, iSDA, etc)
lddurbin/data-eng-project
lddurbin/datacasts
Contains the code used in the Datacasts video tutorials
egbendito/dc_dashboard
Repository for monitoring data collection.
egbendito/source_data
Source available data from open repositories (CHIRPS, NASA, iSDA, etc)
miaacostach/Using-OCR-to-convert-a-spreadsheet-image-to-data-in-R
Read image and convert in to data frame
miaacostach/WebScraping
Example for make a web scraping and extract a table from web.
pablobernabeu/rscopus_plus
The rscopus_plus functions (Bernabeu, 2024) extend the R package rscopus (Muschelli, 2022) to administer the search quota and to enable specific searches and comparisons.