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15-sql_queries_02-chinook

Chinook SQL exercise

30daymapchallenge

🌍 My contributions to the #30DayMapChallenge 2019

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

analysis

R & Python

awesome-data-engineering

A curated list of data engineering tools for software developers

awesome-frontend-gis

Geospatial resources for web development :earth_africa: 🗺️

basis_functions_approach_to_gp

bayes-surv-bugs

bda_r_demos

Bayesian Data Analysis demos for R

beginner_de_project

Beginner data engineering project - batch edition

biol501

Workshops for Dolph Schluter's quantitative methods class.

bokola.github.io

covariates

cs-video-courses

List of Computer Science courses with video lectures.

data-engineering-howto

A list of useful resources to learn Data Engineering from scratch

data-pipelines-with-apache-airflow

Code for Data Pipelines with Apache Airflow

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

data-viz

A repo for data viz with R, JavaScript, python

dataviz

A book covering the fundamentals of data visualization

distill-websites

fieldhub

FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.

geocomputation

Geocomputation module used in Geography BA/BSc at King's College London

geopython

Notebooks and libraries for spatial/geo Python explorations

get-started-quarto

rstudio::conf-2022 Workshop on Quarto

ggplot2-graphic-design

"Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R", an rstudio::conf(2022) Workshop by Cédric Scherer

gis_course

GIS methods course

glmsummary

A package dev learning repo

hands-on-machine-learning-with-r

Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hpc-intro

Slides, exercises and extra files for the HPC intro course at KU Leuven