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30This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
Open source Bluetooth LE platform for IoT Projects
Project structure for Web Application Development at CEIoT
Sagemaker Workshop
Repositorio de la materia Gestión de proyectos del curso de IoT - FIUBA
No description provided.
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
No description provided.
Notebook R Datascience
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK.
RForcecom provides the connection to Force.com and Salesforce.com from R
R wrapper for georef-ar API. https://georef-ar-api.readthedocs.io/es/latest/
Proyecto final de la materia Recuperación y Minería de Texto (Maestría en DM - FCEN-UBA).
A scraper to update the population projections for all the census cities in Argentina.
R for data science
A first approximation into the fundamentals of voting in Metropolitan Buenos Aires Area.
Trabajo final de la materia Análisis Inteligente de Datos (Maestría en DM - FCEN - UBA).
Notes and exercises from Hadley Wickham's book R for Data Science.
An atempt to detect troll communities in Twitter.
Trabajo final de la materia Data Mining en Economía y finanzas (Maestría en DM - FCEN - UBA).
No description provided.
Trabajo práctico de la materia Aprendizaje Automático - Machine Learning (Maestría en DM - FCEN - UBA).
Trabajos prácticos de la materia Análisis Inteligente de Datos (Maestría en DM - FCEN - UBA).
Trabajos prácticos de la materia Data Mining en Ciencia y Tecnología (Maestría en DM - FCEN-UBA)
Exercises for the book "Learn Python The Hard Way" by Zed. A. Shaw
No description provided.
Course materials, IPython notebooks, tutorials, and guides for an urban data science course.