ecamo19 Goto Github PK

aics-ml-segmentation

app_licitaciones

Aplicación en Shiny con datos de Licitaciones Adjudicadas 2014-2015 del gobierno de CR

bonanmodeling

Matlab code for Climate Change and Terrestrial Ecosystem Modeling

data-science

:bar_chart: Path to a free self-taught education in Data Science!

droughtbox_documentation

ecamo19

geospatial_mapping_pipeline

gsoc2022_web

gsoc_project_2022_vm

hiedroughtbox

homework_statistical_data_science

This repository contains all the homework done by Erick Calderon for the course Statistical Data Science

image_color_count_and_color_reduction

jupyterhub-deploy-docker

Reference deployment of JupyterHub with docker

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learning_book

This repository was created for hosting a static web-page with ideas, concepts and code learned by me

math-for-programmers

Source code for the book, Math for Programmers

micromamba

model-vignettes_pecan_cct-datascience

my_rmarkdown_templates

nbdev

Create delightful software with Jupyter Notebooks

nutrients_and_water_effects_on_tdf_plants

physiolocal_responses_tropical_dry_forest_reproducible_stats

pixi

Package management made easy

project-based-learning

Curated list of project-based tutorials

project_hie_coc_website

project_machine_learning_cancer_cells

project_statistical_data_science

This repo contains all the files, notebooks and data for the final project from the statistical data science course

redundancy_of_reproductive_traits

reproducible-data-science

Tutorials on creating a reproducible and maintainable data science project

sankee

Visualize classified time series data with interactive Sankey plots in Google Earth Engine