Publications by Alexis Mekueko
Data605_Final_Project
Github Link Web Link Kaggle submission: position = 9749 Team Name = Alexis Mekueko Score = 0.34840 Problem 1. Using R, generate a random variable X that has 10,000 random uniform numbers from 1 to N, where N can be any number of your choosing greater than or equal to 6. Then generate a random variable Y that has 10,000 random normal numbers wit...
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Data608_Final_Project
Github Link Web Link Benefits The interest of exploring U.S. Military death data is visualize these death to the public so that something can be done to reduce this death. We all know that U.S. Military involves politicians, technology, industry, healthcare and government. Thus, by displaying this data to the public, all these entities can cont...
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Data624_Project2
Github Link Web Link Project #2 (Team) Assignment This is role playing. I am your new boss. I am in charge of production at ABC Beverage and you are a team of data scientists reporting to me. My leadership has told me that new regulations are requiring us to understand our manufacturing process, the predictive factors and be able to report to t...
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Data624_Market_Basket_Analysis
Github Link Web Link Note: This assignment is about how to apply association rule and cluster analysis to market basket analysis. Association Rule Mining in R Language is an Unsupervised Non-linear algorithm to uncover how the items are associated with each other. In it, frequent Mining shows which items appear together in a transaction or relat...
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Data624_HW8
Github Link Web Link 7.2. Friedman (1991) introduced several benchmark data sets create by simulation. One of these simulations used the following nonlinear equation to create data: y = 10 sin(πx1x2) + 20(x3 − 0.5)2 + 10 x4 + 5 x5 + N(0, σ 2) where the x values are random variables uniformly distributed between [0, 1] (there are also 5 other...
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Data624_HW7
Github Link Web Link Developing a model to predict permeability (see Sect. 1.4) could save significant resources for a pharmaceutical company, while at the same time more rapidly identifying molecules that have a sufficient permeability to become a drug: Start R and use these commands to load the data: #install.packages('AppliedPredictiveModel...
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Data624_Project1
Github Link Web Link This project consists of 3 parts (A,B and C. Part A – ATM Forecast, dataset = ATM624Data.xlsx In part A, I want you to forecast how much cash is taken out of 4 different ATM machines for May 2010. The data is given in a single file. The variable ‘Cash’ is provided in hundreds of dollars, other than that it is straigh...
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Data608_Final_Project_Proposal
Benefits The interest of exploring U.S. Military death data is visualize these death to the public so that something can be done to reduce this death. We all know that U.S. Military involves politicians, technology, industry, healthcare and government. Thus, by displaying this data to the public, all these entities can contribute each at their po...
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Data624_Exponential_Smoothing
Github Link Web Link Exponential Smoothing Forecasting Method Simple Exponential Smoothing ### ??global_economy ##Economic indicators featured by the World Bank from 1960 to 2017 ## starting httpd help server ... done #Variables: GDP, Growth, CPI, Imports, Exports, Population # create data frame algeria_economy <- global_economy %>% ...
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Data624_HW5
Github Link Web Link Exercise 1. Consider the the number of pigs slaughtered in Victoria, available in the aus_livestock dataset. a-Use the ETS() function to estimate the equivalent model for simple exponential smoothing. Find the optimal values of α and ℓ_0 , and generate forecasts for the next four months. #head(aus_livestock) View(aus_liv...
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