Publications by Taha Ahmad
DATA624 FPP Chapter 2
library(fpp3) Introduction In this document, we will be going through exercises 2.1, 2.2, 2.3, 2.4, 2.5, and 2.8 from Forecasting: Principles and Practice (3rd ed). Exercises 2.1 Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. Use ? (or help()) to find out about...
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DATA 607 Final Project
# load in required packages library(tidyverse) library(tidytext) library(textstem) library(wordcloud) library(RColorBrewer) library(ranger) library(tm) library(httr2) library(rvest) library(jsonlite) library(psych) library(glue) library(GGally) library(ggpubr) library(ggfortify) Introduction Video game developers trying to market an...
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DATA 605 Final Project
library(tidyverse) library(pracma) library(stats) library(glue) library(GGally) library(matrixcalc) library(MASS) library(ggfortify) library(caret) select <- dplyr::select set.seed(1337) Problem 1 Density Generation Probability Density 1: X ~ Gamma. Using R, generate a random variable X that has 10,000 random Gamma pdf values. A Gamma...
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DATA 606 Final Project
# load in required packages library(tidyverse) library(httr2) library(jsonlite) library(psych) library(GGally) library(ggpubr) library(ggfortify) Abstract In this project, we take data regarding games listed on Valve’s Steam platform for video games from the Steam Spy API. Specifically, we’re interested in the median playtime of the g...
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Data 607 Week 12 Project
library(tidyverse) library(httr2) library(R.utils) library(tm) library(quanteda) library(e1071) library(caret) Introduction When you are dealing with classification problems that have large sets of publicly available data, the best method to resolve such problems is to train a classifier on them. In this project we will be utilizing a pub...
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DATA 605 Multiple Regression Discussion
Introduction The data that I have decided to tackle is Steam (an online video game marketplace) game data. The data is retrieved through an API called Steam Spy which monitors changes to the games on the marketplace. Specifically, we are looking at the 100 games which had the most users in the past two weeks. Data Preparation # load in require...
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Data 605 - Week 11 Discussion
Introduction The data that I have decided to tackle is Steam (an online video game marketplace) game data. The data is retrieved through an API called Steam Spy which monitors changes to the games on the marketplace. Specifically, we are looking at the 100 games which had the most users in the past two weeks. Data Preparation # load in require...
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DATA 607 Week 10 Assignment
library(tidyverse) library(janeaustenr) library(tidytext) library(gutenbergr) library(wordcloud) library(reshape2) library(lexicon) Introduction With the textbook Text Mining with R by by Julia Silge and David Robinson, we explore utilizing sentiment analysis on text. We begin with mimicking code examples present in the text, and then we ...
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DATA 607 Week 9 Project
library(tidyverse) library(httr2) library(jsonlite) library(keyring) Introduction For this assignment, we’ll be practicing our knowledge of Tidyverse functions by creating vignette examples of the packages that make up Tidyverse. In my case, I wanted to attempt going over the forcats package which focuses on manipulating factor elements in...
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DATA 607 Week 9 Assignment
library(tidyverse) library(httr2) library(jsonlite) library(keyring) Introduction For this assignment, we’ll be testing our capabilities of accessing APIs and pulling json data from them into data frames. Specifically, we’ll be looking at data from the New York Times books API. Loading an API Key First and foremost, we’ve registered fo...
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