Publications by Alexis Mekueko
Data624_HW4
Github Link Web Link Assignment: Do problems 3.1 and 3.2 in the Kuhn and Johnson book Applied Predictive Modeling. Please submit your Rpubs link along with your .rmd code. Exercises 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 c...
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Data624_HW3
Github Link Web Link The Forecaster’s Toolbox Forecasting: (Principles and Practice)[https://otexts.com/fpp3/] by Rob J Hyndman and George Athanasopoulos Exercise 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) Bri...
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Data624_HW1
Github Link Web Link Exercise 1 Use the help function to explore what the series gafa_stock, PBS, vic_elec and pelt represent.Use autoplot() to plot some of the series in these data sets. What is the time interval of each series? ## [1] "Historical stock prices from 2014-2018 for Google, Amazon, Facebook and Apple. All prices are in $USD." ## [1...
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Data608_Homework1
DATA608 Principles of Data Visualization and Introduction to ggplot2 Github Link Web Link Note: The dataset used for this homework is about the 5,000 fastest growing companies in the US (as compiled by Inc. magazine). Provided by: Charley Ferrari 1. Data Structure Rank Name Growth_Rate Revenue Industry Employees City State 1 Fuhu 421.48 1.179...
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Data624_HW2 Time Series Decomposition
Github Link Web Link Exercise 1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed over time? View(global_economy) # a lot of missing data dim(global_economy) ## [1] 15150 9 sum(is.na(global_economy)) ## [1] 23678 # missing ...
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Data608_Module3
Github Link Web Link Deployment app for Question1 Assignment Data about mortality from all 50 states and the District of Columbia.Please access it at https://github.com/charleyferrari/CUNY_DATA608/tree/master/module3/data. You are invited to gather more data from our provider, the CDC WONDER system, at https://wonder.cdc.gov This assignment mu...
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Data624_HW6
Github Link Web Link Exercise 1. Figure 9.32 shows the ACFs for 36 random numbers, 360 random numbers and 1,000 random numbers. a. Explain the differences among these figures. Do they all indicate that the data are white noise? Series: x1, There is one significant spike at lag 12. Other Series:x2, Series: x3 don’t have significant spike. The b...
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Data624_HW9
Github Link Web Link Chapter 8: Regression Trees and Rule-Based Models Do problems 8.1, 8.2, 8.3, and 8.7 in Kuhn and Johnson. Please submit the Rpubs link along with the .rmd file. Exercises 8.1. Recreate the simulated data from Exercise 7.2: library(mlbench) ## Warning: package 'mlbench' was built under R version 4.0.5 set.seed(200) simulated...
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Data622_HKW2 Decision Trees and Random Forest
Github Link Web Link Assignment: Based on the latest topics presented, bring a dataset of your choice and create a Decision Tree where you can solve a classification or regression problem and predict the outcome of a particular feature or detail of the data used. Switch variables to generate 2 decision trees and compare the results. Create ...
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Data698_Research_Proposal
Project Description Background The Covid19 pandemic has impacted many families in the U.S. for more than 03 years[1]. There are nearly 933,485 deaths due to Covid19 up to date [2]. The U.S. are not alone in this pandemic. There is a world record of 5.88 millions of covid19 deaths in about 211 countries [3]. These Covid19 deaths bring tears to ma...
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