Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Reproducible Research Course Project Peer Assessment 2 repo: date created 60117: through Coursera
-
Updated
Jun 22, 2016 - HTML
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Reproducible Research Course Project Peer Assessment 2 repo: date created 60117: through Coursera
Taller SparkR para las Jornadas de Usuarios de R
Project for INFX 573- Data Science I
Predictive Machine Learning Project
Graded labs for the Data Mining course
Danielle and Lilly teach a v friendly intro to R and R Studio.
Investigate a classic phenomenon from experimental psychology called the Stroop Effect using python
Quantitative Methods in Human Genetics
Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a white wine data set for distributions, outliers, and anomalies.
A set of tools for the biologists who sequence RNA or watch cells in the Thomson Lab
R Code for the REACCTING project (http://www.reaccting.com/). The aim of the project is to model and calibrate carbon monoxide sensors using in North Africa to study emissions from open stoves. Code is written under the guidance and in collaboration with Dr. Yolanda Hagar
RECSM-UPF Summer School: Social Media and Big Data Research
For this assignment we've accomplished to perform some Data Mining in order to find Patterns (Rules) that can help the The Department for Transport of the UK Government to reduce Road Accidents.
The idea was to be able to retrieve relevant information on movies from this reference site and also to analyse the reviews (and respective scores) assigned by users of the site to the movies.
An analysis of red wines dataset using R with the help of univariate, bivariate, and multivariate plots
interactive Signal-Processing in R for educators
Exploring redwine data for quality analysis.
Add a description, image, and links to the rstudio topic page so that developers can more easily learn about it.
To associate your repository with the rstudio topic, visit your repo's landing page and select "manage topics."