Isye 6501 homework 2

ISYE 6501 Intro to Modeling HW2

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ISYE 6501 Homework 2 Latest Update ... Homework 2 Question 3.1: Using the same data set (credit_card_data.txt or credit_card_data-headers.txt) as in Question 2.2, ...

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Let's begin implementing the k-Nearest Neighbors algorithm. Define the distance function, which takes in two arguments: an array of numerical features, and a ...

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Question 4.2. The iris data set iris.txt contains 150 data points, each with four predictor variables and one categorical response. The ...

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Isye 6501 homework 2. 2, use the ksvm or kknn function to find a good classifier: (a) using cross-validation (do this for the k-nearest-neighbors model; ...

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Isye 6501 homework 9. Remember the homework is only 15% of the TOTAL grade, so it's not the end of the world if you don't do well on the coding homework.

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