Publications by Joe Connolly
Logistic Regression and Linear Discriminant Analysis
library(MASS) library(stats) library(dplyr) library(caret) Linear Discriminant Analysis (LDA) LDA provides analysts the opportunity to scale large amounts of data to be projected onto 2 axes that allows us for efficient separation. Assume we have two variables: X1, X2, that are projected onto a 2 dimensional graph. LDA projects these variable...
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Index Performance in the 21st Century
Indexes in the 21st Century Joseph Connolly Intro Global Index Performance in the 21st Century By Joseph Connolly Professor Charley Ferrari CUNY SPS, MSDS: Data 608 Spring, 2022 This final project for Data 608, Knowledge and Visual Analytics, at the CUNY School of Professional Studies, entails a Flexdashboard to visualize and di...
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Data 622, HW 3
Data 622, Homework 3 Perform an analysis of the dataset used in Homework #2 using the SVM algorithm.Compare the results with the results from previous homework. Based on articles: 1: Decision Tree 2: SVM Search for academic content (at least 3 articles) that compare the use of decision trees vs SVMs in your current area of expertise. \(1)\) ...
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Data 621, HW4
train_df <- read.csv("https://raw.githubusercontent.com/jconno/R-data/master/insurance_training_data.csv") test_df <- read.csv("https://raw.githubusercontent.com/jconno/R-data/master/insurance-evaluation-data.csv") DATA EXPLORATION Data Summary First, let’s correct the formats/values of the data train_df$INDEX <- NULL train_df$INCOME <- as....
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