knearest-neighbor-algorithm | Topic

Topic: "knearest-neighbor-algorithm"

sharmapratik88/AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

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sohailahmedkhan/Phishing-Websites-Classification-using-Deep-Learning

A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.

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nikopetr/R-Star-Tree

Java Implementation of the R* Tree

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adotg/knn-what-how-why

What is knn? How is knn done? Why is knn needed?

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aryanraj2713/KNN-visualization

A casestudy about K-nearest-neighbors Algorithm

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CoolerVoid/libfast_knn

C++ library of k-nearest neighbors algorithm (k-NN), faster because uses Armadillo lib

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ozlemkorpe/Machine-Learning-with-MATLAB

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

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Lawrence-Krukrubo/Machine_Learning

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

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fazeelkhalid/artificial-intelligence-real-life-problem-and-solutions

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

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EslamTK/Students-Performance-System

Students performance system to help students improve their academic performance

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AYSE-DUMAN/KNN-Algorithm-Implementation-and-Applications

K Nearest Neighbors algorithm in Python and some applications

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ravitejaCR7/Machine-Learning

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thenomaniqbal/Diabetes-prediction

In this project, we try to predict whether someone is diabetic or not by using data mining techniques and approaches more accurately by combining the results of various machine learning (ML) techniques particularly K-Nearest Neighbors (KNN).

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Sachin-D-N/Amazon_Food_Reviews

In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.

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chkrr00k/IshiVision

Computer Vision Based System to read the numbers in an Ishihara Plate test

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Zabuzard/Closy

Closy is a library that provides fast and generic solutions for nearest neighbor search (NNS)

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sylvaincom/C-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

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CCWI/wifi-fingerprinting-app

Android App for indoor localization in large buildings based on RSS fingerprinting

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sahith/MachineLearning

MachineLearning

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assassinsurvivor/MachineLearning

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SarveshChandra/Machine-Learning-and-Artificial-Intelligence-Case-Studies

AIML Projects

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alfianandinugraha/knn-iris

Simple algorithm K-Nearest Neighbors with Python and Sklearn

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NikhilSKashyap/11-Projects-to-DataScience

In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.

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rkumar70900/Machine_Learning

Machine Learning Course Assignment Solutions.

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Rajat-dhyani/charity_donors

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

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owenm-26/springbreakr

A simplified and gamified way for college students to plan their trips

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AnnettaQi/Recommendation-system-for-movies-using-ML-methods

Collaborative filtering algorithm to recommend movies to users

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garvitjain-02/admission-prediction-model

This repository shows ML Model to predict the Admission chances of a student based on some given features. The model is build using the best algorithm out of 4 popular Machine learning algorithms and the best was KNN Algorithm with an accuracy of ~95%. The dataset includes 7 key features for prediction such as GRE Score , University rating, etc.

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mehmethalis/guess-music-genre

It's a machine learning model which guess genre of music

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ms-daniel/II-Projeto-IA

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

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rehan-ankalgi-7t2/AI-ML-lab-programs

(VTU) aritficial Intelligence and machine learning practical programs and algorithms

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S-Oktay-Bicici/Machine-Learning

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi

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HarshMathur86/Diabetes-classification-KNNs-algorithm

A machnie learning model designed to predict the whether a patient will be diagnosed by diabetes or not by analyzing his/her past medical records

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akshayratnawat/NaturalLanguageProcessingSpecialization

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Jatin-Goyal-552/stroke_prediction

Stroke Prediction

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11dome11/K-Nearest-Neighbors-and-Radius-Neighbors-Implementation

Application of my own KNN and RN algorithms (weighted or not) on iris dataset

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TStud/Wine-Dataset-Exploratory-Data-Analysis

Applying Clustering algorithm on famous WIne Dataset from Kaggle.

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Emon-ProCoder7/Machine-Learning-Projects

Implementation of Linear, logistic regression, K-nearest Neighbor, Decision tree, Neural Net Algorithms with sci-kit learn.

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devalparikh/OnlineAdRegression

A machine learning project using logical regression and KNN to clasify if a user will interact with an online advertisement

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amitjoshi9627/ScratchingML

Machine Learning algorithms from scratch

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kshitijshrivastava1903/Data-Science-And-Machine-Learning-Projects

Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets

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Madhur215/ML-Algorithms-Without-Libraries

This repository contains the implementation of some machine learning algorithms without using the libraries available for them. Although the basic functions of some libraries are used.

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Grasia/knnp

Time Series Forecasting using K-Nearest Neighbors Algorithm (Parallel approach)

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MohamedOmar2020/13-machine-learning-models

Six machine learning models for predicting bladder cancer progression using Caret package

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SujayDas1999/Iris-Flower-Classification-KNN

This is a classification of iris flower using k nearest neighbour classifier

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KunalRRathod/Placement-Predictor

A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements

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alyswidan/FaceRecognition Fork of mohamedmahmoud97/FaceRecognition

Face recognition using PCA and LDA algorithms followed by KNN to search the embedding space.

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jinudaniel/machine-learning-examples

Some of the machine learning algorithms created from scratch or using frameworks like Keras.

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nr-parikh/machine_learning

Repository dealing with key concepts in Machine Learning

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SameerSvk10/Digit-Recognition-and-Localization

This repository is a implementation of one of the task in e-Yantra Robotics Competition (eYRC) 2015-16

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turkdogan/machine-learning

Examples of machine learning algorithms and models in C++

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MADHAVAN001/simple-face-recognition

Simple face recognition algorithm

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mattmezza/knn-digit-char-recognition

This python program helps you kickstart with digits recognition using OpenCV and k-nearest-neighbor algorithm

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Mr-MH0001/am-algorithm

# am-algorithmA fast and accurate Rust utility for matching anime titles against messy inputs. This tool supports multiple languages and offers various matching strategies to ensure precision in identifying shows. 🦀✨

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aryanparmarr/Credit-Card-Fraud-Detection

Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.

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Preethi2805/Customer-Churn

This project focuses on predicting customer churn for a telecommunications company using machine learning models. The dataset contains various features such as customer demographics, service usage, and billing information, which are used to predict whether a customer will churn (leave the service).

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Niteshchawla/Movie-Recommender-System

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

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ChiragVaghela10/digit_recognition

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Abhinav330/ML-implementation-on-Classified-data

This repository implements a K-Nearest Neighbors (KNN) model in Python for predicting loan defaults. It analyzes the KNN_Project_Data dataset (features & binary target 'TARGET CLASS').

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ROHILLA-PR/Python-Machine-learning-project-

Analyzing the healthcare data and generating insights, along with it predicting whether a person is a smoker/drinker or not.

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arindrajitpatra/Bank_Loan_Approval_Prediction

Predict a customer is eligible for bank loan or not

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sasomoto/ML-Fault-Analysis-Algorithm-Comparision

This contains the code that I wrote while working on a personal project which was about a comparative analysis of K Nearest Neighbours and Random Forest algorithms by variation of parameters

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Saba-Gul/Comparative-Study-of-Predicting-Students-Adaptability-Level-in-Online-Education

Comparative Study of KNN and Decision Tree Models for Predicting Students' Adaptability Level in Online Education

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FG-ABC/CC-Fraud-Detection

Convolutional Neural Network and K-Nearest Neighbor models designed to detect fraudulent Credit Card Transactions

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dubeyynishant/Heart-Disease-Prediction

Heart Disease Risk Prediction using various ML Algorithms and comparing their accuracies

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Rcode879/Handwritten-digit-detector

A school machine learning project based on the Knearest neighbours model

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mudraverma65/HarmonizingHearts

Harmonizing Hearts: A Music-Based Compatibility Analysis

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ayushtiwari134/apparel_recommender_dl

This project utilizes transfer learning with TensorFlow's ResNet50 model to build an apparel recommendation system. The system scans images and displays the five closest items from the dataset on a Streamlit-based webpage.

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Shipra-09/ML-Project-KNN-Classification

This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).

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KomangAndika/MLModel

This is my list of machine learning model, simple implementation nothing too advance. Happy learning

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Sharifah-Malhan/Titanic-MLproject

in this project i worked on the famous Titanic dataset, from cleaning the data to analyzing it and training the model [with KNN algorithm] to evaluating it.

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MacAindreis/Credit-card-Fraud-Detection

This is a mini Project on Credit Card Fraud Detection Web App. Using four Learning Algorithms

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HillalXD/customer-segmentation

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srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

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rynanda/Regression-Classification-DeepNets

Regression analysing socio-economic data, multi-class classification of land types from spectral data, and training and adapting deep networks using the Street View House Numbers dataset.

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Alli3d/knn_iris 📦

K Nearest Neighbours algorithm for iris dataset

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sthsuyash/django-ibm

data science projects

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Gopinathalpha7/Machin-Learning_Notes

[ Simple steps to learn Machine learning models ]

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st3v3nmw/knowledge-discovery 📦

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lijesh010/ML_Project-Iris_Data_Species_Classification_Algorithms

This repository contains a machine learning project focused on the classification of Iris flower species using different Classification algorithms.

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abideen-olawuwo/loan

A loan prediction modes

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SarCode/ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

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zeynepozisil/Potability-of-Water

Machine Learning Project

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simranfarrukh/sentimentanalysis

Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer

Language: Python - Size: 328 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Anjali-DA/Introduction-of-Machine-Learning

🏵️Getting started with Machine Learning🤖| ML algorithms📔| skitlearn| Prediction of new datasets from Kaggle📉

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anup-anny/NETFLIX-MOVIES-AND-TV-SHOWS-CLUSTERING

Unsupervised learning project (Clustering)

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jaiminjariwala/Random_Forest_Project_1

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grvnair/knn-from-scratch

Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.

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anandanraju/Salary_Prediction_and_Analysis

K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification. KNN tries to predict the correct class for the test data by calculating the distance between the test data and all the training points. Then select the K number of points which is closet to the test data.

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Anas436/Loan-Case-will-be-Paid-OFF-or-NOT-Prediction-using-Classification-with-Python

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zzmtsvv/ml_sandbox

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Naveen-Karanamu/Iphone-Purchase-Prediction

This is the prediction of the Purchasing of the IPhone based on different features of the Human's - KNN

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mortezagholi79/Project_ML

Objective of the repository is to learn and build machine learning models using Python for data Personal Loan Acceptance( UniversalBank )

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tagoreji/Movie-Ratings-Prediction-using-ML

Prediction of Movie ratings using ML Models

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msikorski93/Diamond-Price-Modelling-Based-on-Their-Attributes

The purpose of this notebook is to develop an automated function to predict the price of a diamond based on its given features (cut, color, dimensions, etc.). We will create a machine learning model which can estimate these values. We need to find continuous data, so we will perform a regression task. We will use supervised learning to find the prices.

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roshancyriacmathew/Supervised-machine-learning-on-iris-datatset

This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.

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