Publications by Dell
Assignment2 D622
Assignment 2 D622 This assignment consists of conducting at least two (2) experiments for different algorithms: Decision Trees, Random Forest and Adaboost. That is, at least six (6) experiments in total (3 algorithms x 2 experiments each). For each experiment you will define what you are trying to achieve (before each run), conduct the experime...
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Project 1 DATA624
Project 1 DATA624 This project consists of 3 parts - two required and one bonus and is worth 15% of your grade. The project is due at 11:59 PM on Sunday Oct 25. I will accept late submissions with a penalty until the meetup after that when we review some projects. Part A – ATM Forecast In part A, I want you to forecast how much cash is taken ...
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Homework 6 D624
Homework 6 Do the exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman. Please submit both the Rpubs link as well as your .rmd file. 9.1) Figure 9.32 shows the ACFs for 36 random numbers, 360 random numbers and 1,000 random numbers. Explain the differences among these figures. Do they all indicate that the data are white noise? The differen...
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Story 4 D608
Story 4 Airbnb Revenue Analysis The goal of this assignment is to tell a visual story about the factors that differentiate profitable airbnbs from unprofitable airbnbs. You should imagine that you are either an analyst at airbnb looking for ways to help hosts become more profitable or to suggest to make suggestions about who should become a hos...
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Story 3 D608
Story 3 DATA 608 The rate of firearm mortality varies tremendously between states. Several factors have been proposed to explain this public health disparity, from regulations in the given state, socioeconomic conditions like poverty, or cultural factors surrounding gun ownership. Your task in this data story is to make visualizations that inve...
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Assignment5 D624
Homework 5 Do exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in Hyndman. Please submit both the link to your Rpubs and the .pdf file with your run code 8.1) #Consider the the number of pigs slaughtered in Victoria, available in the aus_livestock dataset. library(dplyr) ## Warning: package 'dplyr' was built under R version 4.4.2 ## ## Attaching package...
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Homework 4 D624
Homework 4 Do problems 3.1 and 3.2 in the Kuhn and Johnson book Applied Predictive Modeling. Please submit your Rpubs link along with your .pdf for your run code. 3.1) The UC Irvine Machine Learning Repository6 contains a data set related to glass identification. The data consist of 214 glass samples labeled as one of seven class categories. T...
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Assignment 1 D622
Assignment 1 This assignment focuses on one of the most important aspects of data science, Exploratory Data Analysis (EDA). Many surveys show that data scientists spend 60-80% of their time on data preparation. EDA allows you to identify data gaps & data imbalances, improve data quality, create better features and gain a deep understanding of y...
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Story 2 D608
Story 2 The Federal Reserve’s mandate from Congress is to control inflation and to maintain low unemployment. You can read about it here: Dual Mandate. These seem to be contradictory objectives- see this wikipedia article on the Phillips Curve. Another good but short news article which focuses on the specific context of recessions is here: So...
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Homework 3 D624
Homework 3 Instructions Do exercises 5.1, 5.2, 5.3, 5.4 and 5.7 in the Hyndman book. Please submit your Rpubs link as well as your .pdf file showing your run code. 5.1) #Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift()) is more appropriate in each case: Australian Population (global_economy), ...
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