Publications by Anjal Hussan
Predict heart disease based on certain Health factors
Abstract For this project we will be using different predictive modeling techniques that we have learned throughout the course and using real world data in order to predict if a person has heart disease based on certain factors. The data set for this project Heart Failure Prediction Dataset can be found on Kaggle. Each observation in this dataset r...
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DATA 624 Project 2
Project 2 Instruction: 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 them our predictive model of PH....
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DATA624 Presentation
MARS vs SVM vs KNN Boston data set which includes housing data with features of the houses and their prices. Load data and libraries library(MASS) library(caret) library(earth) data(Boston) str(Boston) ## 'data.frame': 506 obs. of 14 variables: ## $ crim : num 0.00632 0.02731 0.02729 0.03237 0.06905 ... ## $ zn : num 18 0 0 0 0 0 1...
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DATA624-HW10
Homework 10: Market Basket and Clusters Instructions Imagine 10000 receipts sitting on your table. Each receipt represents a transaction with items that were purchased. The receipt is a representation of stuff that went into a customer’s basket - and therefore ‘Market Basket Analysis’. That is exactly what the Groceries Data Set contains: a ...
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DATA624-HW8
Homework 8: Non-Linear Regression Instructions Do problems 7.2 and 7.5 in Kuhn and Johnson. There are only two but they have many parts. Please submit both a link to your Rpubs and the .rmd file. Packages library(AppliedPredictiveModeling) library(dplyr) library(forecast) library(ggplot2) library(tidyr) library(mice) library(corrplot) library(MAS...
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DATA624-HW9
Homework 9: Trees and Rules Instructions 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. Packages library(AppliedPredictiveModeling) library(dplyr) library(forecast) library(ggplot2) library(tidyr) library(mice) library(corrplot) library(MASS) library(earth) library(RANN) 8.1 library...
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DATA624 HW7
Homework 7: Linear Regression Instructions In Kuhn and Johnson do problems 6.2 and 6.3. There are only two but they consist of many parts. Please submit a link to your Rpubs and submit the .rmd file as well. Packages library(AppliedPredictiveModeling) library(caret) library(dplyr) library(mice) library(corrplot) library(elasticnet) library(pls) ...
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Data 624 Project 1
Project 1 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, ATM624Data.xlsx In part A, I want you to forecast how much cash is t...
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Data 624 HW6
Do the exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman 9.1 a. Explain the differences among these figures. Do they all indicate that the data are white noise? The correlations in each figure are not significantly different from zero. The peaks for the figures are all within the dashed blue lines. The figures suggests they are all white nois...
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DATA 624 HW5
Do exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in Hyndman load libraries library(mlbench) library(ggplot2) library(reshape2) library(Amelia) library(inspectdf) library(naniar) library(fpp3) 8.1 Consider the the number of pigs slaughtered in Victoria, available in the aus_livestock dataset. Use the ETS() function to estimate the equivalent model for si...
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