Publications by Samuel C. Singer
Final Project
Introduction Insect-borne diseases have plagued (pun not intended) humanity for millennials. While medicine has developed to a point where most outbreaks of even the most severe diseases can be contained, our ability to effectively forecast and stop outbreaks as they happen is crucial. Mosquito-carried illnesses are particul...
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Final Project vol3
Introduction Insect-borne diseases have plagued (pun not intended) humanity for millennials. While medicine has developed to a point where most outbreaks of even the most severe diseases can be contained, our ability to effectively forecast and stop outbreaks as they happen is crucial. Mosquito-carried illnesses are particul...
9126 sym 29 img 23 tbl
Final Project
Introduction Insect-borne diseases have plagued (pun not intended) humanity for millennials. While medicine has developed to a point where most outbreaks of even the most severe diseases can be contained, our ability to effectively forecast and stop outbreaks as they happen is crucial. Mosquito-carried illnesses are particul...
9126 sym 29 img 23 tbl
Homework #3
Introduction Since 2014, I have been interested in the combat sport that is Muay Thai. The intensified version of kickboxing brings a fascinating mix of strategy and athleticism that cannot be found in most other sports. Like any fan, I want the sport to grow in participation and popularity. For that reason, I have downloaded Google-pro...
6234 sym Python (4910 sym/24 pcs) 5 img
HW3 ~ Muay Thai
Introduction Since 2014, I have been interested in the combat sport that is Muay Thai. The intensified version of kickboxing brings a fascinating mix of strategy and athleticism that cannot be found in most other sports. Like any fan, I want the sport to grow in participation and popularity. For that reason, I have downloaded Google-pro...
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Homework 2
Introduction While predicting the preformance of the tech industry as a whole is a task rarely preformed well, the forecasting for technological appliances and products is much easier to predict. With seasonal sales, such as Black Friday, and the Christmas holidays, the technological appliances industry can almost always expect a spike ...
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Discussion 5
Introduction In this weeks discussion, I attempt to forecast portfolio preformance, using the top down, bottom up, and middle out coupling methods. My chosen stocks are TSLA, GOOG, BA, and LMT, meaning my two industries of focus are tech and weapons manufacturing. Graphs ## ── Attaching packages ───────────────�...
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Discussion 3
Introduction For this weeks assignment, I have decided to take a closer look into TSLA stock price, and see whether I can achieve some predicting power by using an ARIMA model. I will also compare this model to a traditional Holt’s Damped Method ETS model, and see which one preforms better. Data <- read.csv("/Users/samuelsinger/Desktop/Time Ser...
1607 sym Python (2063 sym/11 pcs) 4 img
Homework #1
1 Introduction Natural gas currently accounts for 43.1% of all energy produced in the United States. In particular, it is used for heating homes during winter season. With a market of that size, companies that supply natural gas have to be able to predict the demand for their good so they can effectively get it to homes and avoid shorta...
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Discussion #2
Introduction For this weeks discussion, I have decided to analyze the time-series dataset of the Henry Hub Natural Gas Spot Price. I will use the Holt’s method, Holt’s damped method, and the Holt-Winter’s Damped Method in my analysis, hoping to generate some predictive power using these models. Graphs For convenience reasons, I limit the ...
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