Publications by Kayleah Griffen
Data 605 Final
Introduction Instructions: Your final is due by the end of the last week of class. You should post your solutions to your GitHub account or RPubs. You are also expected to make a short presentation via YouTube and post that recording to the board. This project will show off your ability to understand the elements of the class. Part 1 Using R, ...
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Data 605: HW 9
Question 11 page 363 The price of one share of stock in the Pilsdorff Beer Company (see Exercise 8.2.12) is given by Yn on the nth day of the year. Finn observes that the differences Xn = Yn+1 − Yn appear to be independent random variables with a common distribution having mean µ = 0 and variance σ^2 = 1/4. If Y1 = 100, estimate the probabi...
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Data 605 HW 8 attempt
Introduction The requirement for this assignment is to complete problems #11 and #14 on page 303 of probability text #1 on page 320-321. Problem 11 A company buys 100 lightbulbs, each of which has an exponential lifetime of 1000 hours. What is the expected time for the first of these bulbs to burn out? According to the “Distribution of the mi...
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Data 605: Assignment 5
Introduction This work was assigned for Data 605, assignment 5. Question 1 ** (Bayesian). A new test for multinucleoside-resistant (MNR) human immunodeficiency virus type 1 (HIV-1) variants was recently developed. The test maintains 96% sensitivity, meaning that, for those with the disease, it will correctly report “positive” for 96% of the...
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Data 605, Week 1: Discussion post reply
In question Solving Systems of Linear Equations, quesion C32 asks to find the solution of the following system of equations: x + 2y = 8 x - y = 2 x + y = 4 My classmate, Jean, demonstrated how by creating a matrix in r and using the solve() function - they found that the solution does not exist. I wanted to show this graphically. I wrote the equ...
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Data 624 HW 1 Week 3
Introduction This homework assignment includes problems from: Hyndman & Athanasopoulos. “Forecasting: Principles and Practice” Kuhn & Johnson. “Applied Predictive Modeling” This accompanies readings from KJ 1,2 and 3 and HA 1,2,6,7 and 8. Homework Solutions HA 8.1 Figure 8.31 (https://otexts.com/fpp2/arima-exercises.html) shows the AC...
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Data 624 HW 1 Week 2
Introduction This homework assignment includes problems from: Hyndman & Athanasopoulos. “Forecasting: Principles and Practice” Kuhn & Johnson. “Applied Predictive Modeling” This accompanies readings from KJ 1,2 and 3 and HA 1,2,6,7 and 8. Homework Solutions KJ 3.1 The UC Irvine Machine Learning Repository contains a data set related t...
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Data 624 HW 1 Week 1
Introduction This homework assignment includes problems from: Hyndman & Athanasopoulos. “Forecasting: Principles and Practice” Kuhn & Johnson. “Applied Predictive Modeling” This accompanies readings from KJ 1,2 and 3 and HA 1,2,6,7 and 8. Homework Solutions HA 2.1 Use the help function to explore what the series gold, woolyrnq and gas...
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Franklin Community Center Analysis
Introduction Franklin Communuty Center The Franklin Community Center is a non-profit organization dedicated to helping individuals and families in Saratoga county. One of the main services they provide to the community is a food pantry. One need the food pantry has is to understand the demographics they are serving and how these change over ti...
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Global Baseline Estimator
Introduction The purpose of this assignment is to get an introduction to recommender systems and modeling. The global baseline estimate recommender is a basic recommender system that uses the overall average of all users ratings, the average of a specific users ratings for all the movies they watched, and the average rating across all users for...
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