KNN

Introduction to KNN Classification Algorithm in Machine Learning: Implementation in Stata and R

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Introduction to KNN Classification Algorithm in Machine Learning: Implementation in Stata and R

Anyone involved in econometrics should follow this account. Manuscript:[email protected] All econometrics methodologiesCode programsMacro and microdatabases and various softwareare all shared in the community. Welcome to exchange and visit the econometrics circle community. Regarding machine learning methods, refer to the following articles:1Machine learning methods have appeared in top journals such as AER, JPE, QJE!, 2Frontier: A … Read more

Understanding KNN Algorithm Through a Matchmaking Story

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Understanding KNN Algorithm Through a Matchmaking Story

This article is reprinted from the public account Xinkou Dushuo KNN is a fundamental data classification algorithm in machine learning. Here, I will explain its utility through a story. Let’s start with a joke. During a matchmaking event, a beautiful girl asked the young man: Do you have a three-bedroom apartment? The young man: No. … Read more

K-Nearest Neighbors (KNN) Model Operations and Evaluation with ROC Curve and Confusion Matrix

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K-Nearest Neighbors (KNN) Model Operations and Evaluation with ROC Curve and Confusion Matrix

K-Nearest Neighbors (KNN) The K-Nearest Neighbors (KNN) model is a simple and effective machine learning algorithm mainly used for classification and regression tasks. The basic idea of KNN is that the class or value of a sample depends on the classes or values of its k nearest neighbors. Specifically, KNN predicts the class or value … Read more

Understanding the K-Nearest Neighbors Algorithm

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Understanding the K-Nearest Neighbors Algorithm

What is the K-Nearest Neighbors Algorithm (KNN)? The K-Nearest Neighbors algorithm (KNN) is a simple and intuitive machine learning algorithm widely used for classification and regression tasks. Its core idea is based on the principle of “birds of a feather flock together,” finding the K most similar neighbors by comparing the distance between a new … Read more

Understanding the KNN Algorithm Thoroughly

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Understanding the KNN Algorithm Thoroughly

Hello everyone, I am Xiaohan. Today, I will share a powerful algorithm model, KNN. KNN (K-Nearest Neighbors) is an instance-based supervised learning algorithm widely used in classification and regression tasks. Its core idea is: given a sample, calculate its distance to all samples in the training set, find the K nearest samples (the nearest neighbors), … Read more

KNN Algorithm Implementation in Python

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KNN Algorithm Implementation in Python

KNN (K-Nearest Neighbors) algorithm is a simple yet effective classification and regression algorithm. Its basic idea is to classify or predict by calculating the distance between samples. Below is an example of KNN algorithm implementation in Python, including data preparation, model training, and prediction. 1. Install Required Libraries If you haven’t installed scikit-learn and numpy, … Read more

KNN for CAPTCHA Recognition

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KNN for CAPTCHA Recognition

(Click the public account above to quickly follow) Source: Qiu Kang singasong https://segmentfault.com/a/1190000006070219 Introduction I previously developed a campus dating APP, where one of the logics was to confirm that the user is a student by accessing their academic system. The basic idea was to use the user’s account and password to scrape the information. … Read more

Predicting House Prices Using KNN for Regression, Classification, and Outlier Detection

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Predicting House Prices Using KNN for Regression, Classification, and Outlier Detection

Full Article Link: https://tecdat.cn/?p=33917 KNN is a non-parametric learning algorithm, which means it makes no assumptions about the underlying data. This is a very useful feature because most client data does not really follow any theoretical assumptions, such as linear separability, uniform distribution, etc. (Click the “Read the Original” link at the end of the … Read more

Improving kNN Matching Effect for Dating Websites (With Source Code)

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Improving kNN Matching Effect for Dating Websites (With Source Code)

Improving kNN Matching Effect for Dating Websites This article follows up on the previous one, in which we briefly introduced the basic principles of the kNN algorithm. Using the context of dating website matching, we implemented data parsing from a text file using Python and created scatter plots with matplotlib for data analysis. In this … Read more