## Recently Published

##### Take Home Exam

Final exam for Applied Linear Statistical Models

##### Tölfræði: Lokaverkefni

Áhrifaþættir húsnæðisverðs milli sveitarfélaga á höfuðborgarsvæðinu

##### Tölfræði: Lengri Verkefni D

Flokkabreytur

##### Applied Data Analysis: Report 2

In this report I talk about gradient boosted trees and compare its performance to other linear and tree-based models.

##### ISLR: Exercise 8.12

Exercise 8.12 from Introduction to Statistical Learning

##### ISLR: Exercise 10.8

Exercise 10.8 from Introduction to Statistical Learning

##### Data Science Algorithms

With applications in blabla

##### Applied Data Analysis: Report 1

This is a concise report answering exercise 4.13 from Introduction to Statistical Learning. It is written for a University Class in Applied Data Analysis.

##### ISLR: Exercise 7.10

Exercise 7.10 from Introduction to Statistical Learning

##### Data Science Capstone: Presentation

Final Slideshow Presentation for the Capstone Project from John Hopkins University's Data Science Specialization at Coursera.org

##### ISLR: Exercise 10.11

Exercise 10.11 from Introduction to Statistical Learning

##### ISLR: Exercise 10.10

Exercise 10.10 from Introduction to Statistical Learning

##### ISLR: Exercise 10.9

Exercise 10.9 from Introduction to Statistical Learning

##### ISLR: Exercise 9.8

Exercise 9.8 from Introduction to Statistical Learning

##### ISLR: Exercise 9.7

Exercise 9.7 from Introduction to Statistical Learning

##### ISLR: Exercise 9.5

Exercise 9.5 from Introduction to Statistical Learning

##### ISLR: Exercise 9.4

Exercise 9.4 from Introduction to Statistical Learning

##### ISLR: Exercise 8.9

Exercise 8.9 from Introduction to Statistical Learning

##### ISLR: Exercise 8.8

Exercise 8.8 from Introduction to Statistical Learning

##### ISLR: Exercise 8.10

Exercise 8.10 from Introduction to Statistical Learning

##### ISLR: Exercise 7.9

Exercise 7.9 from Introduction to Statistical Learning

##### ISLR: Exercise 7.8

Exercise 7.8 from Introduction to Statistical Learning

##### ISLR: Exercise 7.6

Exercise 7.6 from Introduction to Statistical Learning

##### ISLR: Exercise 6.9

Exercise 6.9 from Introduction to Statistical Learning

##### ISLR: Exercise 6.8

Exercise 6.8 from Introduction to Statistical Learning

##### ISLR: Exercise 6.11

Exercse 6.11 from Introduction to Statistical Learning

##### ISLR: Exercise 6.10

Exercise 6.10 from Introduction to Statistical Learning

##### ISLR: Exercise 5.9

Exercise 5.9 from Introduction to Statistical Learning

##### ISLR: Exercise 5.8

Exercise 5.8 from Introduction to Statistical learning

##### ISLR: Exercise 5.6

Exercise 5.6 from Introduction to Statistical Learning

##### ISLR: Exercise 5.5

Exercise 5.5 from Introduction to Statistical Learning

##### ISLR: Exercise 4.13

Exercise 4.13 from Introduction to Statistical Learning

##### ISLR: Exercise 4.12

Exercise 4.12 from Introduction to Statistical Learning

##### ISLR: Exercise 4.11

Exercise 4.11 from Introduction to Statistical Learning

##### ISLR: Exercise 4.10

Exercise 4.10 from Introduction to Statistical Learning

##### ISLR: Exercise 3.10

Exercise 3.10 from Introduction to Statistical Learning

##### ISLR: Exercise 2.8

Exercise 2.8 from Introduction to Statistical Learning

##### ISLR: Exercise 3.9

Exercise 3.9 from Introduction to Statistical Learning

##### ISLR: Exercise 2.9

Exercise 2.9 from Introduction to Statistical Learning

##### Data Science Capstone: Milestone Report

Part of the Capstone Course of the Coursera Data Science Specialization by John Hopkins University

##### A Study on the Spread of FastFood Restaurants in Reykjavík, Iceland

Hvar er skjaldborgin? Takk, Óli.

##### The Economic and Population Effects of Different Types of Weather Events

Weather events can have disastrous consequences if we are ill prepared. Heat waves can cause loss of life and floods can cause property damage. If we had reliable information which ranked the different types of events, the government could choose where to spend their budget the most efficiently. The purpose of this analysis is to see which types of events cause the biggest population and property damage. I will look at the mean and total amount of damage caused by major events and plot them for easy viewing.