Knn k nearest neighbors - Study guides, Class notes & Summaries

This document includes: clustering, normalization/scaling, R code, Euclidean Distance, KMeans Algorithm, and K Nearest Neighbors.

This file is about Algorithmic psychology. In this file, I have summarised both the live lecture 9 as well as the according to literature. It entails all the information required for both the assignments as well as the exam.

ISYE Midterm 1 Notes: Week 1 Classification:, Questions with accurate answers, Graded A+ Document Content and Description Below ISYE Midterm 1 Notes: Week 1 Classification: - Two main types of classifiers: o Hard Classifier: A classifier that perfectly separates data into 2 (or more) correct classes. This type of classifie r is rigid and is only applicable to perfectly separable datasets. o Soft Classifier: A classifier that does not perfectly separate data into perfectly correct classes. This...

ISYE 6501 WEEK 1 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to submit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, is to help you learn as much as you can, and develop your analytics skills as much as possible! ...