GitHub topics: knn-classifier
ANkanja/K-Nearest-Neighbors
A data science project that analyzes customer behavior to predict which telecom users are likely to discontinue their service.
Language: Jupyter Notebook - Size: 246 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
leansandoval/CienciaDeDatos
Ejercicios de clase y Trabajo Práctico de la materia Ciencia de Datos UNLaM (3670) - 1C / 2C 2025.
Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
Awais-Asghar/Early-Fault-Detection-for-Induction-Motor-Using-ML
An integrated MATLAB–ML system for early fault detection in induction motors. Detects six faults broken rotor bars, stator short, ground fault, overloading, eccentricity, and voltage imbalance using KNN and Decision Tree models for accurate, unified, and reliable predictive maintenance.
Language: MATLAB - Size: 11.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
Awais-Asghar/DSP-Based-Music-Genre-Classifier
A real-time music genre classification system that combines classical machine learning techniques with a CNN trained on mel-spectrograms. The hybrid model utilizes DSP-based feature extraction and ensemble learning to achieve high accuracy and low latency for practical audio applications.
Language: MATLAB - Size: 7.82 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
gitdeepsingh/ml-basics
Machine Learning Basics with Python
Language: Python - Size: 994 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
CrispenGari/ml-2023
💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.
Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0
Niketw/student-stress-prediction
student stress classifier for economics project
Language: Jupyter Notebook - Size: 192 KB - Last synced at: 2 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
shariftasrik/ml-binary-classification-breastcancer
A machine learning project applying Decision Tree, Naïve Bayes, and K-Nearest Neighbors (KNN) classifiers to a breast cancer healthcare dataset for binary classification. Includes data preprocessing, model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics.
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 23 hours ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Akarshhegde99/SmartElec
Face Recognition Voting System: A Python-based real-time face recognition voting system using OpenCV and KNN, designed for secure and automated digital elections. Voters are identified via webcam, authenticated using face data, and allowed to vote only once.
Language: Python - Size: 1.97 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
konadamis2/Body-Mass-Index-Classifier
kNN - The program uses theoretical data
Language: Python - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Samahussien7/COVID-19-Chest-X-ray-Classification-KNN
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle.
Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
MachineNeyarning/KNN-Poker
Tarefa de KNN com Dataset de Poker
Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
thieu1995/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Language: Python - Size: 4.48 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 86 - Forks: 25
PialGhosh2233/Liver_Cirrhosis_Prediction_using_Machine_Learning
This repository contains the implementation of a machine learning project aimed at predicting the stage of cirrhosis based on clinical features.
Language: Jupyter Notebook - Size: 344 KB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
Msundara19/Power_Load_predictor
achine learning–based load forecasting for smart grids using K-Nearest Neighbors (KNN) and Gradient Boosting Regressor (GBR), featuring data preprocessing, feature engineering, model comparison, and error analysis on historical energy demand data.
Language: Python - Size: 473 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Akarshhegde99/SmartElec_updated
Face Recognition Voting System: A Python-based real-time face recognition voting system using OpenCV and KNN, designed for secure and automated digital elections. Voters are identified via webcam, authenticated using face data, and allowed to vote only once.
Language: Python - Size: 18.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
zakaahmadchishti/KNN_Classifier_Sequence_Prediction_Azure_Cloud
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.
Language: C# - Size: 12.5 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Bimantyo/Mental-Health-Analysis-Predicting-Depression-in-Students-with-Machine-Learning
Developed a machine learning model to predict students at risk of depression using survey-based data, enabling early identification and supporting targeted mental health interventions.
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
CIE-PESU/CIE_RISCV_Project
RISC-V K-Nearest Neighbors Accelerator for Image Recognition on FPGA
Language: Assembly - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1
karimova99/ml-models-from-scratch
From‑scratch ML models (linear/logistic regression, SVM, KNN) in Python/NumPy + Jupyter animations for intuition.
Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Moses07/Diagnoses_Hyperspectral_of_Physiological_Status_of_Soybeans
Digital Solution - Stress Detection: Diagnosis of the Physiological Status of Soybean Crop through Hyperspectral Images
Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
hriteesha-2003/AI-PROJECTS
AI-based Color Identifier: Upload an image, and the app predicts its average color using a trained ML model (KNN). Built with FastAPI (Python) and ReactJS.
Language: JavaScript - Size: 42 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Koustav2908/wine-class-prediction
Predicting the class of wine from the wine dataset using classification algorithms like Support Vector Machines (SVM), and K-Nearest Neighbors (KNN)
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
LENGKH/Voice_Classifier
A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.
Size: 1000 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0
nirab25/Insurance-Claim-Fraud-Detection
Insurance claim fraud detection using machine learning algorithms.
Language: Jupyter Notebook - Size: 422 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 5
EstevesX10/EIACD-Video-Games
Video Games Dataset Analysis [Elements of AI & DS Course Project]
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Love2502/Machine_Learning
Fault detection in steel plates using different machine learning models.
Language: Python - Size: 6.78 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
shivchander/binary-classifiers
Binary classification using kNN, neighborhood and perceptron from scratch in python. Using the stressed/Not Stressed dataset
Language: Python - Size: 1.05 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
sharehost/Sudoku
Sudoku is a web-based game that offers a classic 9x9 puzzle experience with real-time input validation and responsive design. 🎮 Enjoy solving unique puzzles generated by a smart algorithm that adapts to your skill level! 🧩
Language: HTML - Size: 23.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Simran0192004/Healthy_Lifestyle_Predictor
Built a smart KNN Classifier to predict whether a person’s lifestyle is *Healthy*, *Moderate*, or *Unhealthy* based on daily habits like sleep, hydration, and screen time. Achieved **100% accuracy* on clean test data.
Language: Python - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
krishnadey30/Artificial_Intelligence_Codes
C codes for the Arificial Intelligence Course and algorithms.
Language: C - Size: 872 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 2
chawthinn/campus-placement-prediction
This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model training using classification algorithms such as Logistic Regression, Decision Tree, and K-Nearest Neighbors.
Language: Jupyter Notebook - Size: 729 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
GroenteLepel/qiskit-quantum-knn 📦
A pure quantum knn classifier for a gated quantum computer.
Language: Python - Size: 105 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 24 - Forks: 8
Shiva-Khatter/-Statistical-Water-Quality-Analysis-Across-India
Analyzing water quality across ground and river sources in India using statistical models, evaluating parameters like DO, TDS, conductivity and more from 1,000+ data points. And identifying high-risk zones for potential conservation efforts.
Language: Python - Size: 130 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
kamlesh0928/machine-learning
This repository contains machine learning algorithms implemented from scratch and using scikit-learn, covering classification, regression, and clustering. Each algorithm is well-documented, with clear code and explanations. To use K-Medoids, install sklearn_extra via pip install scikit-learn-extra. Contributions are welcome!
Language: Python - Size: 199 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
auralius/AEK3LBB3
SISTEM BIOMEDIKA CERDAS (Intelligent Biomedical Systems / AEK3LBB3)
Language: Jupyter Notebook - Size: 71.2 MB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
saimihirj/Spotify-Song-Recommendation-Engine
A simple song recommendation engine using K-Nearest Neighbors with the Spotify Music Dataset
Language: Jupyter Notebook - Size: 6.53 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
Shanmukhi1920/H-M-Recommendation-System
Develop personalized product recommendations for H&M's users using transaction history, customer data, and product metadata (including text descriptions) to enhance shopping experience and sustainability.
Language: Jupyter Notebook - Size: 4.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
neeru1207/AI_Sudoku
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
Language: Python - Size: 33.2 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1,012 - Forks: 154
KellybLieu/UC_Berkeley_Module17_ComparingClassifiers
Practical Application 3. Assignment 17.1. Goal is to compare the performance of the classifiers, K Nearest Neighbor, Logistic Regression, Decision Trees, and Support Vector Machines utilizing a dataset related to marketing bank products over the telephone.
Language: Jupyter Notebook - Size: 578 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
ugyenn-tsheringg/Precision-Spam-Detection-Using-Multinomial-Naive-Bayes
This project implements a machine learning-based spam detection system to classify SMS messages as either spam or ham (non-spam).
Language: Jupyter Notebook - Size: 783 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
hashirshoaeb/Polygon-classifier 📦
Distinguishing polygon shapes in testing image on the basis of provided training dataset using KNN algorithm.
Language: Python - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
LybahNisar/Employee-Retention-Forcasting-using-ML-
A data-driven solution to predict employee attrition using machine learning algorithms. This project includes data preprocessing, exploratory analysis, model training (Logistic Regression, Decision Tree, Random Forest), and performance evaluation to support strategic HR decision-making.
Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Anarya22/Credit-Card-Fraud-Detection-KNN
This project focuses on detecting fraudulent credit card transactions using the K-Nearest Neighbors (KNN) algorithm. The dataset, sourced from Kaggle, contains anonymized features extracted through PCA to maintain confidentiality. Only numerical features like V1 to V28, Time, and Amount were used for analysis and model training.
Language: Jupyter Notebook - Size: 258 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
ilia10000/LO-Shot
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 86 - Forks: 13
rocksaint/fruit-data-with-colours
Fruit data with Colours
Language: Jupyter Notebook - Size: 776 KB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 26
czarekmilek/Music-Genre-Classifier Fork of thammpiotr/Music-Genre-Classifier
Machine Learning project of a music genre classifier.
Language: Python - Size: 2.65 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
xshthkr/EcoBin
A waste segregation smart dustbin that classifies and separates recyclable and organic waste.
Language: Python - Size: 64.5 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1
catherinewbaker/MusicGenreClassification
This project aims to clarify the role of meta data in music genre classification and how helpful or hurtful it can be to music recommendation systems. Much experimentation was done with multiple different machine learning models and results were analysed and collated into a single academic paper
Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
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! 🚀
Language: Jupyter Notebook - Size: 619 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
TheDataTenno/Churn-Prediction
A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ShivaNeuralNet/Customer-Churn-Classifier
Predicting customer retention in an e-commerce platform using classification models. Includes data preprocessing, feature engineering, and model evaluation (Logistic Regression, SVM, Random Forest, KNN, Decision Tree). Best model achieves 83% accuracy and perfect recall. Ideal for business use.
Language: Jupyter Notebook - Size: 3.22 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
JenithaLessie/Machine-Learning-Classification
Our client, a grocery retailer, wants to utilise Machine Learning to reduce mailing costs, and improve ROI!
Size: 799 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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.
Language: EJS - Size: 283 KB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
Hibashajahan55/DEPRESSION-DETECTION-USING-HYBRID-DEEP-LEARNING-MODEL
DEPRESSION DETECTION USING MOBILE APP
Size: 8.8 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
Sakshikhairnar03/Lung-Cancer-Prediction
The project checks with the users features and then predicts the output
Language: Python - Size: 15.6 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 99.2 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
khyatig0206/spam_detector
Introducing the Spam Detector Web App! This application is designed to detect spam comments using a K-Nearest Neighbors (KNN) classifier with TF-IDF vectorization. The web app is built using Django and HTMX, and it allows users to register, create comments, and detect spam within those comments.
Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
mlatinov/Heart-Failure-Prediction
Heart Failure Mortality Prediction with R & Tidymodels Using R and Tidymodels, this project predicts heart failure mortality with models like Logistic Regression, Random Forest, GBMs, and SVM, identifying key risk factors for better clinical decisions
Size: 4.88 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
justin-marian/gabor-bank-filters
Feature extraction, visualizations, and a KNN classifier for sound categorization based on Gabor filters.
Language: Python - Size: 698 KB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
EversonYT09/Liver_Cirrhosis
This project aim to understanding the factors contributing to liver cirrhosis, analyzing its impact, and possibly predicting disease outcomes using machine learning. It might also explore survival analysis or risk stratification for liver cirrhosis patients.
Size: 1.95 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Rickey-CS/Sentiment-Text-Classification-Pytorch
sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch
Language: Python - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 2
sadikurrahamanfahim/DataVize
Web Based application with various operations for data science
Language: Python - Size: 18.6 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
swarnava-96/Rainfall-Prediction
A Flask web app which predicts whether it will rain tomorrow or not.
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2
julianahubacova/Detecting_Fake_Reviews
ML and NLP to classify book reviews as fake or real
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
Devtown-India/Yoga-Pose-Estimation-App
This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.
Language: Jupyter Notebook - Size: 61 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 23
AsmaeKarmouchi/Project_ECG_Classification
Classification des battements cardiaques
Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
galihpraditya/customer-churn-prediction
This project focuses on predicting customer churn in the telecom industry using machine learning. Customer churn, or the rate at which customers stop using a service, is a critical metric for businesses. By predicting churn, companies can take proactive measures to retain customers and improve customer satisfaction.
Language: Jupyter Notebook - Size: 643 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
miltiadiss/CEID_NE5237-Decision-Theory
The 1st project uses daily stock data from AlphaVantage API to predict the next day's closing price based on past values . The 2nd project processes Wavelet Transform features from banknotes and performs binary classification using Parzen windows, k-NN, and variations of SVMs.
Language: Jupyter Notebook - Size: 42 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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
Language: Python - Size: 180 MB - Last synced at: 6 months ago - Pushed at: almost 7 years ago - Stars: 15 - Forks: 3
Ari-S-123/DS-3000-Final-Project
Predicts consumer behavior in online commerce using Machine Learning Algorithms.
Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
AlvaroVasquezAI/Voice_Classifier
A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.
Language: Python - Size: 62.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
sushant1827/Credit-Card-Fraud-Detection
Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 7 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
ranvikhalar/LCR Fork of UofT-DSI/LCR
Classification - KNN Classifier
Language: Jupyter Notebook - Size: 151 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
jonghough/jlearn
Machine Learning Library, written in J
Language: J - Size: 9.53 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 58 - Forks: 13
AsadAhmed29/Heart-Attack-Analysis-with-different-Classifiers
The Heart Attack Prediction project uses machine learning to predict heart attack risk based on clinical data. After implementing algorithms like Logistic Regression, SVM, KNN, and Random Forest, the Random Forest model achieved 92% accuracy. Key predictors, such as maximum heart rate and chest pain
Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
hrudaych1099/ML-Library
Machine Learning Library
Language: Python - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
SimranS22/Heart-Disease-Prediction-Model-SurTech
A ML application(deployed on flask) to detect heart disease in patients based on medical features.
Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1
rociobenitez/heart-disease-prediction
Flujo completo de trabajo para abordar un problema de clasificación binaria utilizando un dataset relacionado con enfermedades cardíacas.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
SriNeogi/Deals-Prediction-Python
Binary Classification problem (Won = 1, Lost=0)
Language: Jupyter Notebook - Size: 810 KB - Last synced at: 19 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Sjha2012/Heart-Attack-Risk-Prediction-Using-ML
Heart-Attack-Risk-Prediction-Using-ML is a machine learning-based project designed to predict the risk of a heart attack in a patient over the next 10 years. By analyzing key health indicators such as age, BMI, blood pressure, heart rate, and blood glucose levels, the model provides a percentage risk score.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
msikorski93/Alzheimer-s-Disease-Classification
A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
Language: Jupyter Notebook - Size: 3.93 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
shreydan/Machine_Learning_Models_from_scratch
linear regression, logistic regression, KNN classifier, ...
Language: Jupyter Notebook - Size: 507 KB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 368 KB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Sparxxz/Recommendation-System-Collabrative-Filtering
Premier Experience for Loyal eCommerce Customers
Language: Python - Size: 6.1 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 18
priyansh-iitd26/Content_Based_Movie_Recommendation_System
A content-based movie recommendation system using the TMDB 5000 Movie Dataset available on Kaggle. Built with Python, it suggests movies based on genres, cast, and plot similarity.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ehsan-ashik/prostate-cancer-classification
The project involves training micro RNA-based classification models using a prostate cancer dataset.
Language: R - Size: 1.26 MB - Last synced at: 7 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Sama-Amr/Loan-Approval-Machine-Learning-Project
A machine learning project using python aiming to benefit the banking industry and reduce the hassle, pressure and workload and increase the efficiency and effectiveness of the process of issuing loans
Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
pfrsch/EBAC-workshop
Ciência de Dados na Saúde: Construir um modelo para predizer quando uma pessoa tem câncer dado um exame de sequenciamento do RNA
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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.
Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Shaz-5/hemo-detect
Develop machine learning models that detect diseases from blood test data. Utilizing machine learning, it analyzes patterns and predicts potential health conditions, offering users early insights for proactive care.
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monigomes/ciencias-de-dados
Projetos e exercícios de Ciências de Dados.
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juanhuaco/sleep-disorder-prediction-models
Features Engineering and application of ML algorithms (KNN, GaussianNB, Decision Tree, Random Forest)
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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.
Language: Python - Size: 50.8 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
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.
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NguyenTrieuVuong/React_App_using_TensorflowJS
App "Don't Touch Your Face" by F8 Official
Language: JavaScript - Size: 1.89 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
deepanshu-Raj/Adaptive-Learning
This repo contains of various components of the Interactive web app : Edu Squad , designed on the theme of Adaptive Learning. Features are implemented, so as to help make the virtual Learning fun & efficient
Language: HTML - Size: 17.3 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 5
CllsPy/FreeCodeCamp
Machine Learning With Python - Certification
Language: Python - Size: 886 KB - Last synced at: 7 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0