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material_publico_cur_inv_rep

Material de soporte al Curso de Investigación Reproducible con R y RStudio

medium

meneame-nlp

Proyecto presentado en el Hackathon Iberia, de AWS e Intel.

metaflow-tools

Tools and utilities for operating Metaflow in production

mi_heroku

nbrun---jupyter-con-parametros

Automate execution of Jupyter Notebooks from another Notebook.

opcut

Cutting stock problem optimizer

predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

project_bikey_mcbike

A demo mobile Flask application built with python and javascript to determine closest bike share station to your location.

pulink

pybikes

bike sharing + python = pybikes

pybroom

pybroom, the python's broom to tidy up messy fit results!

pypika

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

python_api_gmail

Muestra del uso de la API de Gmail mediante Python

rcontest

react-flask-heroku

Simple bootstrapping code for a React frontend and Flask backend ready to deploy to Heroku.

react_file_uploader

React and Express file uploader

reproducibility-guide

project page for creating a guide to reproducible research

reproducibility-workflow

A short and to-the-point summary of a reproducible data science workflow

rstudioconf2019

My presentation at RStudio::conf(2019), Austin, Tx - "The lazy and easily distracted report writer"

sand

Statistical Analysis of Network Data with R

sentiment-analyzer-tool

It analyze the sentiment of the user, whether it is postive or negative.

shiny-d3-calendar

shiny-examples

shiny-server

My personal Shiny server

shinybi

Business Intelligence shinyApp

shinypay

Accept payments in shiny app

swcarpentry

A meta-repository to help navigate the many lessons and repos of the Software Carpentry Community

taller_r_datos_omicos

Taller de Análisis de datos ómicos con R

tech-interview-handbook

💯 Materials to help you rock your next coding interview