As the title implies, this is a basic eQTL analysis guide which, by the way, is not completed yet...

This is a pitch deck for Shiny application that was developed as the capstone project for Data Science Specialization. This specialization was created and conducted by professors from Johns Hopkins University with the help of industry partners SwiftKey and Yelp, and realized through Coursera MOOC platform.

So what is text mining? To put it simple: Text mining is the process of distilling actionable insights from text. In this article we’ll be dealing with the so called Bag of Words, i.e. BoW approach to text mining.

Report written as a first milestone for the data science specialization capstone orginised by JHU, Coursera and SwiftKey.

This material is mostly based on Max Kuhn's tutorial for the `caret` package, as well as the course he made together with Zachary Deane-Mayer for DataCamp

This documents explores basic methods for correlation analysis, as well as ways to format and visualize correlation matrices using R.

Kao sto naslov kaze, EDA za UN Voting Dataset. Dokument ce biti s' vremena na vreme dopunjavan...

Inicijalna (eksplorativna) analiza podataka u R-u. Za studente koji slusaju Klinicko inzenjerstvo na Masinskom fakultetu Univerziteta u Beogradu.

Uvod u osnove programskog jezika R. Namenjeno mojim studentima na predmetu Klinicko Inzenjerstvo.

When selecting a car, fuel efficiency is a common selection criteria. In this paper, we look at 1974 Motor Trend data [1] for the purpose of evaluating factors on fuel efficiency. We specifically are interested in the effects of automatic vs manual transmission on the gas mileage. By looking at several possible models, we see a relationship does exist between fuel efficiency and transmission type, but that could also be explained by other factors such as vehicle weight.

The following analysis, i.e. the report based on it, has been conducted in order to explore, in detail, the mtcars data set in terms of relationship between a set of given variables and fuel consumption. The data was extracted from the 1974 Motor Trend US magazine, and comprises average MPG and 10 aspects of automobile design and performance for 32 automobiles (1973?74 models). The main objectives of this analysis are to determine: Which type of transmission, manual or automatic, is preferable in terms of average fuel consumption? What is the difference in average MPG when cars with automatic and manual transmissions are compared? To address these questions we’ve used regression models and exploratory data analyses to find out how automatic (am = 0) and manual (am = 1) transmissions features affect the MPG feature. In brief, our main conclusion is: Manual transmission is preferable, in terms of lower fuel consumption, when compared to automatic transmission.

RMarkdown/ HTML skripta "Mašinsko učenje u R-u" za studente Biomedicinskog inženjerstva, generacija 2016/ 2017. Materijal ce biti vremenom dopunjavan.

Final project for DDP Course by John Hopkins and Coursera

Interactive map made with R "leaflet" package for Johns Hopkins/ Coursera DDP assignment.

This document is a first part of the exploratory analysis report regarding flight arrival and departure details in different USA airports.

As the title says this is worked out project assignment for Practical Machine Learning course by Coursera, which is a part of the Data Science specialization provided by John Hopkins University.

The idea behind this report is to analyze the impact of different weather events on public health and economy. Analysis is based on the public database for storm events, maintained by the U.S. National Oceanic and Atmospheric Administration’s (NOAA). Data used in this study was gathered during 1950 - 2011. This report contains the analysis on the health and economic consequences according to the type of the storm event, based on corresponding estimates of fatalities, injuries, property and crop damage. The results show that floods, droughts, and typhoons leave the greatest financial losses, whereas tornados and excessive heat are most harmful with the respect to population health.