Pablo Andrada's repositories

awesome-data-engineering

A curated list of data engineering tools for software developers

License:CC0-1.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

pyspark-example-project

Implementing best practices for PySpark ETL jobs and applications.

Stargazers:0Issues:0Issues:0
Language:C++License:GPL-2.0Stargazers:0Issues:0Issues:0
Language:JavaScriptLicense:MITStargazers:0Issues:0Issues:0

pyafipws

Factura Electrónica AFIP y otros servicios web (proyecto software libre) — Interfases, tools and apps for Argentina's gov't. webservices (soap, com/dll simil-ocx, pdf, dbf, xml, json, etc.) #python

License:LGPL-3.0Stargazers:0Issues:0Issues:0

docker-hadoop

Copy of blossomt/docker-hadoop

Stargazers:0Issues:0Issues:0

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

Stargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0

LatinR-2019-h2o-tutorial

H2O Machine Learning Tutorial for the 2019 LatinR Conference

License:Apache-2.0Stargazers:0Issues:0Issues:0

Analyzing-Visualizing-Data-PowerBI

This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.

Stargazers:0Issues:0Issues:0

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

practicalAI

📚 A practical approach to learning and using machine learning.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0