GitHub topics: knn-classifier | Ecosyste.ms: Repos

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: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

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: 118 KB - Last synced at: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

auralius/AEK3LBB3

SISTEM BIOMEDIKA CERDAS (Intelligent Biomedical Systems / AEK3LBB3)

Language: Jupyter Notebook - Size: 51.3 MB - Last synced at: about 18 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

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: 5 days ago - Pushed at: 5 days 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 days ago - Pushed at: 6 days ago - Stars: 1 - 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: 6 days ago - Pushed at: 6 days ago - Stars: 2 - 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: 13 days ago - Pushed at: 14 days ago - Stars: 0 - 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: 3 days ago - Pushed at: 10 months ago - Stars: 86 - Forks: 13

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: 242 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0

rocksaint/fruit-data-with-colours

Fruit data with Colours

Language: Jupyter Notebook - Size: 776 KB - Last synced at: 6 days ago - Pushed at: over 5 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: 28 days ago - Pushed at: 28 days 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: 29 days ago - Pushed at: 29 days 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: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Language: Python - Size: 4.51 MB - Last synced at: 29 days ago - Pushed at: 11 months ago - Stars: 72 - Forks: 24

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: 8 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Hibashajahan55/DEPRESSION-DETECTION-USING-HYBRID-DEEP-LEARNING-MODEL

DEPRESSION DETECTION USING MOBILE APP

Size: 8.79 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

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.

Language: C# - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: 25 days ago - Pushed at: about 2 months ago - Stars: 22 - Forks: 8

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: 29 days ago - Pushed at: almost 2 years ago - Stars: 1,010 - Forks: 154

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: 2 months ago - Pushed at: 2 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: about 2 months ago - Pushed at: 6 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sadikurrahamanfahim/DataVize

Web Based application with various operations for data science

Language: Python - Size: 18.6 KB - Last synced at: 2 months ago - Pushed at: 2 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: 5 days ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 1

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: 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

julianahubacova/Detecting_Fake_Reviews

ML and NLP to classify book reviews as fake or real

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AsmaeKarmouchi/Project_ECG_Classification

Classification des battements cardiaques

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: about 2 months ago - Pushed at: 3 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: 19 days ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 3

gitdeepsingh/ml-basics

Machine Learning Basics with Python

Language: Python - Size: 23.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: over 3 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: 4 months ago - Pushed at: 4 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: 30 days ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jonghough/jlearn

Machine Learning Library, written in J

Language: J - Size: 9.53 MB - Last synced at: 2 months ago - Pushed at: over 1 year 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hrudaych1099/ML-Library

Machine Learning Library

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months 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: 14.8 MB - Last synced at: about 2 months ago - Pushed at: 5 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: 4 months ago - Pushed at: 4 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: 3 months ago - Pushed at: 4 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: 3 months ago - Pushed at: 4 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: 5 months ago - Pushed at: 5 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: 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - 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: 4 days ago - Pushed at: 5 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: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 5 months ago - Pushed at: 5 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: about 2 months ago - Pushed at: 6 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: 5 months ago - Pushed at: 5 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

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: about 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.

Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nirab25/Insurance-Claim-Fraud-Detection

Insurance claim fraud detection using machine learning algorithms.

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 4

monigomes/ciencias-de-dados

Projetos e exercícios de Ciências de Dados.

Language: Jupyter Notebook - Size: 566 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

juanhuaco/sleep-disorder-prediction-models

Features Engineering and application of ML algorithms (KNN, GaussianNB, Decision Tree, Random Forest)

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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: about 2 months ago - Pushed at: over 1 year 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.

Language: Jupyter Notebook - Size: 105 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

NguyenTrieuVuong/React_App_using_TensorflowJS

App "Don't Touch Your Face" by F8 Official

Language: JavaScript - Size: 1.89 MB - Last synced at: 6 months ago - Pushed at: 6 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: 5 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 5

CllsPy/FreeCodeCamp

Machine Learning With Python - Certification

Language: Python - Size: 886 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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.

Language: HTML - Size: 138 KB - Last synced at: 21 days ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 5

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)

Language: HTML - Size: 4.05 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 4 - Forks: 5

vignesh4005/Campus_Placement_Prediction

Objective of this project is to develop and evaluate predictive models to determine student placement status based on academic and extracurricular factors.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 275 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

EstevesX10/EIACD-Video-Games

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

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

JaewonSon37/Fundamentals_of_Data_Science1

Language: R - Size: 780 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 246 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Kheriberto/knn_project

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

Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

suhas-005/Heart-Disease-Prediction-using-ML

Machine Learning based Web Application to predict Heart Disease

Language: Jupyter Notebook - Size: 548 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

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

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

NouranHaitham/ML_LoanPrediction

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

Language: Jupyter Notebook - Size: 391 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ushariRanasinghe/Movie-recommendation

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

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

FYT3RP4TIL/Fake-News-Detection-V3-Word2Vec-Spacy

Language: Jupyter Notebook - Size: 9.06 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

FYT3RP4TIL/NewsClassify-V2-Spacy-WordEmbeddings

Language: Jupyter Notebook - Size: 942 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 9.74 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

thieu1995/MHA-FS 📦

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

Language: Python - Size: 2.51 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 21 - Forks: 7

LeftCoastNerdGirl/Disaster_Tweet_Classification_NLP

This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.

Language: Jupyter Notebook - Size: 615 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Kushwanthchitipotu/ML_fundamentals

Some exercises codes on basics of machine learning built from scratch with basic libraries like numpy ,math.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 9 months ago - Pushed at: 9 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: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

CarbezonKARDE/Heart-Attack-Analysis-and-Prediction

A small demonstration of my knowledge of machine learning algorithms.

Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

raghuvamsicoding/Breast-Cancer-Detection-with-ML

A small comparison between the K Nearest Neighbors Classification and Support Vector Machine Classification on UCI Dataset for Breast Cancer Detection

Language: Jupyter Notebook - Size: 284 KB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Anubhavjain1201/Yoga-Pose-Estimation

Yoga Pose Estimation App made using Posenet and KNN Classifier. This is deployed on Heroku. Works for mobile devices

Language: Jupyter Notebook - Size: 60.9 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AndreaZoccatelli/knn_fromscratch

knn implementation in numpy

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MehdiJmlkh/Machine-Learning-Course-Project-S2024

Machine Learning course, Spring 2024, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani

Language: Jupyter Notebook - Size: 243 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

10mudassir007/Water-Potability

Water potability classifier using simple logistic regression to advanced gradient boosting algorithms

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Prophet-Barnes/Web-App-with-KNN

This is a Web Application for Classification in Scikit-Learn's Iris Dataset using KNN. Click on the link below to see the application in action. https://web-app-knn.herokuapp.com/

Language: Python - Size: 11.7 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Shivrathor01/Breast-Cancer-prediction-with-Accuracy-96.46-

my first projectWelcome to my second DS project also my first notebook on kaggle. In this notebook, I explore the Breast Cancer dataset and develop an RF model to try classifying suspected cells as Benign or Malignant. after using K-fold cross-validation with logistic regression, RF, SVM, and KNN to check the best model for my dataset.

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0