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Projects in Awesome Lists tagged with knn-classifier

A curated list of projects in awesome lists tagged with knn-classifier .

https://github.com/ksdkamesh99/knn-visualiser

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.

artificial-intelligence bootstrap4 javascript knn-classifier knn-visualiser machine-learning ml5js p5js

Last synced: 12 May 2025

https://github.com/evernext10/hand-gesture-recognition-machine-learning

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

artificial-intelligence colombian-sign-language colombian-signal-language f1-score feature-extraction gesture hand knearest-neighbor-classifier knn-classification knn-classifier lsc machine-learning machinelearning neural-network precision preprocessing recall recognition signal-processing support-vector-machines

Last synced: 22 Apr 2025

https://github.com/engineersbox/newsaggregator

A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance

caddy2 docker elasticsearch javascript knn-classifier newsaggregator opensearch python reactjs redis rust spacy-nlp typescript

Last synced: 20 Jun 2025

https://github.com/kamil5b/knnGo

I created K-Nearest Neighbor Algorithm using Go language. Initially, this project is for my assignment but I decided to publish it.

ai artificial-intelligence go golang knn knn-algorithm knn-classification knn-classifier

Last synced: 07 May 2025

https://github.com/jalajthanaki/book_recommendation_system

This repository contains code for recommendation engine. This recommendation engine is for recommending books.

collaborative-filtering correction knn-classifier recommendation-engine

Last synced: 09 Apr 2025

https://github.com/lucasmsa/sinais

🏞 Fourier Transformation applied to images, KNN used to classify images

knn-classifier python

Last synced: 24 Apr 2025

https://github.com/ksdkamesh99/cancer-prediction

A machine learning Flask application for predicting cancer is Malignant or Benign

flask heroku knn-classifier machine-learning

Last synced: 12 May 2025

https://github.com/karenwky/predictive_modeling_hong_kong_horse_racing

predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)

joblib knn-classifier lightgbm-models pandas predictive-modeling scikit-learn

Last synced: 10 Apr 2025

https://github.com/shaik-sohail-72/iris-flower-type-prediction-and-classification-with-ml-and-mern

Iris flower type prediction and classification with machine learning and MERN web I/O system. This project predict the type of iris flower by using machine learning . K-NN algorithm is used for multiclass classification.

css ejs expressjs google-oauth2 heroku-deployment html iris-dataset javascript knn-algorithm knn-classification knn-classifier machine-learning nodejs pandas python sklearn-library

Last synced: 15 Feb 2026

https://github.com/khaledashrafh/knn-classifier

This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.

banknote-authentication euclidean-distance k k-nearest-neighbor-classifier k-nearest-neighbors k-nearest-neighbours knn knn-algorithm knn-classification knn-classifier machine-learning machine-learning-algorithms

Last synced: 28 Mar 2025

https://github.com/saahen-sriyan-mishra/machine-learning-python

This Repo. contains all my Python based Machine Learning projects using numerous algorithms for the purpose of Classification, Clustering, Recommendation, Prediction and Anomaly Detection.

classification clustering convolutional-neural-networks decision-tree-classifier gradient-boosting knn-classifier logistic-regression lstm-model machine-learning numpy pandas prediction random-forest regression support-vector-machines tinker xgboost

Last synced: 11 May 2026

https://github.com/spignelon/letter-recognition_project-ml

A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.

decision-tree-classifier knn-classifier letter-recognition machine-learning machinelearning naive-bayes-classifier random-forest-classifier research research-paper research-project scikit-learn svm-classifier uci-dataset uci-machine-learning

Last synced: 26 Oct 2025

https://github.com/dark-data/breast-cancer-prediction

Over the past few decades, ML techniques have been widely used in intelligent healthcare systems, especially for breast cancer (BC) diagnosis and prognosis. Traditionally the diagnostic accuracy of a patient depends on a physician’s experience. however, this expertise is built up over many years of observations of different patient’s symptoms and confirmed diagnoses. ML techniques can take over some complex manual works from the physicians. Recently, ML techniques are playing a significant role in diagnosis of BC by applying classification techniques to identify people with BC, distinguish benign from malignant tumours and to predict weather the patient is affected or not. We focus on the neural network (NN), support vector machine (SVMs) and k-nearest neighbor (k-NNs) techniques in BC diagnosis.

breast-cancer-wisconsin ipynb-jupyter-notebook knn-classifier neural-networks svm-classifier

Last synced: 05 Mar 2026

https://github.com/sukanyabag/microsoft-malware-detection

Advanced ML Case Study where we use ML algorithms to detect malware from a given piece of software.

knn-classifier logistic-regression machine-learning multivariate-analysis randomsearch-cv tsne-algorithm xgboost

Last synced: 20 Jun 2026

https://github.com/estevesx10/eiacd-video-games

Video Games Dataset Analysis [Elements of AI & DS Course Project]

decision-tree-classifier exploratory-data-analysis feature-engineering knn-classifier

Last synced: 17 Mar 2025

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 Apr 2026

https://github.com/grachale/predict_titanik

Predicting the survival of Titanic passengers (binary classification) with usage of decision tree and KNN from scikit-learn.

classification decision-tree-classifier knn-classifier matplotlib pandas python scikit-learn titanic-survival-prediction

Last synced: 12 Apr 2026

https://github.com/muhfaridansutariya/jakarta-pollution-classification

https://medium.com/@sutariyaf27/jakarta-pollution-classification-8ff84b5a02ee

fastapi knn-classifier logistic-regression streamlit xgboost-classifier

Last synced: 04 May 2026

https://github.com/msikorski93/alzheimer-s-disease-classification

A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.

alzheimers-disease classification efficientnetb0 inceptionv3 knn-classifier mri-brain random-forest scikit-learn svc tensorflow

Last synced: 01 May 2026

https://github.com/hashirshoaeb/polygon-classifier

Distinguishing polygon shapes in testing image on the basis of provided training dataset using KNN algorithm.

blob-analysis blob-detection classifier component-analysis knn-algorithm knn-classifier python3 simple

Last synced: 08 Jul 2025

https://github.com/farooqueesamiya/social-network-ads-classification-models

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

classification-model decision-tree-classifier knn-classifier linear-kernel logistic-regression naive-bayes-classifier random-forest-classifier rbf-kernel support-vector-machine svc-model

Last synced: 03 Jan 2026

https://github.com/shivchander/binary-classifiers

Binary classification using kNN, neighborhood and perceptron from scratch in python. Using the stressed/Not Stressed dataset

binary-classification knn-classification knn-classifier machine-learning neighborhood-based perceptron perceptron-learning-algorithm single-layer-perceptron

Last synced: 31 Jul 2025

https://github.com/ngirimana/ml_knn

Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.

artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon

Last synced: 12 Apr 2026

https://github.com/syedissambukhari/electric-motor-fault-detection-using-machine-learning

This repository is dedicated to the detection of faults in electric motors through machine learning techniques, specifically utilizing the K-Nearest Neighbors (KNN) algorithm. It contains datasets, Python scripts, and accompanying documentation necessary for implementing and understanding the fault detection process.

aritificalintelligence iot-application knn knn-algorithm knn-classification knn-classifier machine-learning-algorithms motor-control

Last synced: 09 Jun 2026

https://github.com/ushariranasinghe/movie-recommendation

Movie recommendation system with Collaborative filtering and kNN recommendation, featuring streamlit frontend

keras-tensorflow knn-classifier pandas pyspark streamlit surprise-library

Last synced: 17 Feb 2026

https://github.com/rayvilaca/vanilla-knn

A simple implementation of the k-nearest neighbors (KNN) algorithm without using external libraries.

euclidean-distances knn-algorithm knn-classification knn-classifier no-libraries python

Last synced: 19 Mar 2025

https://github.com/ehsan-ashik/prostate-cancer-classification

The project involves training micro RNA-based classification models using a prostate cancer dataset.

classification k-means-clustering knn-classifier pca prostate-cancer random-forest tsne

Last synced: 27 Mar 2025

https://github.com/farhanshoukat/digitrecognition1438

A comprehensive comparision of kNN, Decision Tree and Neural Network in Image Classification

artificial-intelligence classification computer-vision convolutional-neural-networks knn knn-classifier machine-learning python

Last synced: 31 Mar 2025

https://github.com/musty-ess/shopping-prediction-ai-using-machine-learning

This project is an AI model designed to predict whether customers on an online shopping website will complete a purchase. It uses machine learning, specifically a k-nearest neighbors (KNN) classifier, to analyze user behavior and predict their purchasing intent.

ai-prediction classification-model k-nearest-neighbors knn-classifier machine-learning online-shopping python scikit-learn sensitivity-specificity user-behavior-prediction

Last synced: 12 Apr 2026

https://github.com/pronzzz/stock_price_prediction

This repository is dedicated to exploring different machine learning models for stock price prediction. Our goal is to determine which model is the most accurate and efficient in forecasting stock market prices. We'll be using historical stock data and various machine learning techniques to build and evaluate models.

knn-classifier knn-regression linear-regression lstm-model random-forest svm-model

Last synced: 13 Apr 2025

https://github.com/arturmareknowak/knn

kNN classificator implementation with execution review and visualization

knn knn-classification knn-classifier machine-learning

Last synced: 09 Apr 2025

https://github.com/sawaira-iqbal/ml-project_brain-tumor-classification-on-images

🧠 Brain Tumor Prediction: Harnessing ML algorithms like Random Forest 🌲, SVM 🔍, and more to predict tumors from MRI scans effectively. Dive into data-driven insights and cutting-edge diagnostics! 🚀

brain-tumor-classification cv decision-tree-classifier gaussion-naive-bayes hog-features knn-classifier ml pil python random-forest-classifier

Last synced: 03 May 2025

https://github.com/zakaahmadchishti/implementation-of-knn-classifier-for-sequence-prediction---azure-cloud-implementation

Implementing the k-nearest neighbor (KNN) machine learning algorithm for predicting outcome variables based on input variables. Leveraging the capabilities of Hierarchical Temporal Memory (HTM) for learning complex temporal patterns, our study focuses on predicting sequences of random sequences between 0-48 floating numbers.

azure azureblobstorage docker docker-compose knn-classifier machine-learning

Last synced: 04 Jul 2025

https://github.com/charlieroth/k_nearest_neighbors

K Nearest Neighbors Classifier

knn-classifier python

Last synced: 03 Apr 2025

https://github.com/amrali/js-image-classifier

A simple TensorFlow image classifier in Javascript

knn-classifier mobilenet tensorflow-experiments tensorflowjs

Last synced: 22 Feb 2026

https://github.com/bintangyosua/alzheimer

This repository contains a dataset and analysis focused on the risk factors associated with Alzheimer's disease. The dataset includes comprehensive patient information, demographic details, lifestyle factors, medical history, clinical measurements, cognitive assessments, and symptomatology.

alzheimer alzheimer-disease-prediction alzheimers-disease k-nearest-neighbours knn knn-classification knn-classifier machine-learning ml xgboost xgboost-classifier xgboost-model

Last synced: 02 Apr 2025

https://github.com/polaris000/introduction-to-machine-learning

Basic machine learning algos, like kNN Classifiers and regression

knn-classifier machine-learning matplotlib practise python3 sklearn

Last synced: 08 May 2026

https://github.com/nouranhaitham/ml_loanprediction

A notebook aimed to predict loan eligibility with high accuracy using advanced machine learning models including Logistic Regression and KNN.

classification-model decision-making insights knn-classifier loan-prediction-analysis logist logistic-regression machine-learning python regression-models

Last synced: 10 May 2026

https://github.com/bintangyosua/alzheimer-risk-prediction

This repository contains a dataset and analysis focused on the risk factors associated with Alzheimer's disease. The dataset includes comprehensive patient information, demographic details, lifestyle factors, medical history, clinical measurements, cognitive assessments, and symptomatology.

alzheimer-disease-prediction alzheimers-disease k-nearest-neighbours knn knn-classification knn-classifier machine-learning ml xgboost xgboost-classifier

Last synced: 08 Jul 2025

https://github.com/geekquad/knn-from-scratch

A basic project to implement the KNN classifier from Scratch.

knn knn-classifier python scratch-implementation sklearn

Last synced: 16 Apr 2026

https://github.com/davityak03/animal-classification-using-different-kinds-of-machine-learning-algos

5 different kinds of machine learning alorithms has been used for the classfication of the animals and have been compared with each other

decision-tree-classifier knn-classifier logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier python svm-classifier

Last synced: 17 Apr 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/rociobenitez/heart-disease-prediction

Flujo completo de trabajo para abordar un problema de clasificación binaria utilizando un dataset relacionado con enfermedades cardíacas.

heart-disease-prediction knn-classifier logistic-regression machine-learning random-forest-classifier sklearn

Last synced: 26 Apr 2026

https://github.com/a-n-i-t-t-a/credit_card_fraud_detection

Fraudulent transactions are a growing concern in the financial sector, and leveraging machine learning can help detect anomalies in real-time. I built a Credit Card Fraud Detection System using the K-Nearest Neighbors (KNN) algorithm, trained on a dataset with key transaction patterns.

flask knn-classifier machine-learning pandas python scikit-learn

Last synced: 27 Apr 2026

https://github.com/animesh-chourey/image-classification-using-a-bag-of-words-model

Bag-of-words model is created and classification of images using K-Nearest Neighbour (KNN) and Support Vector Machine (SVM) is performed.

bag-of-words image-descriptors knn-classifier sift-features svm-classifier

Last synced: 10 May 2026

https://github.com/msikorski93/heart-failure-prediction

The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).

classification knn-classifier logistic-regression random-forest-classifier roc-curves scikit-learn svm-classifier

Last synced: 13 May 2026

https://github.com/nidhiyashwanth/detection-and-classification-of-hypothyroid

This repo contains the project code for the project titled as mentioned in repo's name. This is built inorder for final year project

flask k-means-clustering knn-classifier python random-forest

Last synced: 30 Apr 2026

https://github.com/grupoudea/simulacion-sistemas

Este repositorio almacena algunos algoritmos de Machine Learning con implementación usando librerías y sin librerías, mayormente usando Python. Se agregan algunos algoritmos adicionales, usando Python, Rust y otros lenguajes.

k-means-clustering knn-classifier machine-learning machine-learning-algorithms python3 rust-lang

Last synced: 03 May 2026

https://github.com/cyprianfusi/predicting-heart-disease-using-k-nearest-neighbours

Up to 90% accuracy with just 5 features using KNN algorithm and PCA for feature engineering. The dataset contained less than 1000 observations. The model's accuracy could be improved using more observations, further hyperparameter optimization and feature engineering

cap-curve feature-engineering feature-selection heart-disease knn-classifier pca pca-analysis

Last synced: 21 Mar 2025

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 07 Feb 2026

https://github.com/mohamedkhalidlx/loan-eligibility-prediction-web-app

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

bernoulli-naive-bayes css csv decision-tree-classifier flask gaussian-naive-bayes-classifier gradient gradient-boosting-classifier html ipython-notebook knn-classifier logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier pickle python random-forest-classifier support-vector-classifier webapp

Last synced: 05 Mar 2026

https://github.com/afrid1045/coronary_heart_disease_prediction

Predicting the risk of a person developing the coronary heart disease in 10 years using Machine Learning models.

data-preprocessing desiciontree jupyter-notebook knn-classifier logistic-regression machine-learning-algorithms model-selection python python3 streamlit svc-svm

Last synced: 06 May 2026

https://github.com/isaqueiros/iris-predictions-knnclassifier_and_decisiontree

This notebook demonstrates the basic application of two common machine learning algorithms, KNN and Decision Tree, for species classification using the classic Iris dataset. This is a beginner-friendly guide for understanding and applying basic classification techniques in Python using scikit-learn.

decision-tree-classifier knn-classifier sklearn

Last synced: 21 May 2026

https://github.com/agnivchtj/mnist-classifier

Implement an algorithm that can classify handwritten digits, based on MNIST database.

jupyter-notebooks knn-classifier mnist mnist-dataset python svc

Last synced: 20 May 2026

https://github.com/auralius/aek3lbb3

SISTEM BIOMEDIKA CERDAS (Intelligent Biomedical Systems / AEK3LBB3)

cs231n knn-classifier machine-learning multilayer-perceptron neural-network svm-classifier

Last synced: 04 Oct 2025