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swissApp
This is the code for an interactive shiny app created as part of the final project of the course "Developing Data Products" from the Data Science Specialization (Johns Hopkins University - Coursera).CodeStringOTF
In this repository we will include python code for OTF string method calculationsAppXplor
This repository contains python/html code for an app named xplorny (https://xplorny.herokuapp.com/index). The app uses data from databases of the New York City open data website (https://data.cityofnewyork.us). Xplorny is a prototype exploratory Data Science application to showcase the use of several techniques (see the README.md file).MLProject
Creating of a machine learning model to analyze human activities. This is part of the course "Practical Machine Learning" from the especialization on Data Science offered by coursera and Johns Hopkins UniversityDocumentationStringOTF
Docummentation of the tools for the string OTF calculationsNLP_JE
Some codes and links related to the project of Natural Language Processing an Sentiment Analysis at JE.DataTidyUp
This is an example of a script of cleaning/tidying up raw data from smart phone sensors (source: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip) and creates a derived smaller tidy data set (Reduced.cvs). This example is a project exercise for the Course 'Getting and Cleaning Data' that belongs to the Data Science Specialization (Johns Hopkins Bloomberg School Public School of Public Health)StanfordML
This repository contains my work on the programming assignments for the Machine Learning course from Stanford University - Coursera (Prof. Andrew Ng)Love Open Source and this site? Check out how you can help us