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Projects in Awesome Lists tagged with binary-classification

A curated list of projects in awesome lists tagged with binary-classification .

https://github.com/koooki3/cats-vs-dogs

This repository contains code and resources for building, training, and evaluating deep learning models for cat vs dog classification using PyTorch.

anaconda3 binary-classification cats-vs-dogs deep-learning python pytorch

Last synced: 29 Apr 2026

https://github.com/moozunch/madhumeha

Multi-platform diabetes risk predictor assistant for healthcare workers with neural networks binary classification

android binary-classification diabetes-prediction diagnosis ios mobile-app multi-platform neural-networks

Last synced: 01 May 2026

https://github.com/nazli-d/binary-classification-using-cnn

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow

Last synced: 13 Apr 2026

https://github.com/dhruvsrikanth/boosting-theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

adaboost binary-classification boosting boosting-algorithms gradient-boosting machine-learning multi-class-classification research-paper weak-learning weak-learning-conditions xgboost

Last synced: 17 Feb 2026

https://github.com/goldsharon/logistic-regression-from-scratch

A Logistic Regression model built from scratch in Python using NumPy, without ML libraries. It includes gradient descent, binary classification, and adjustable learning rates, demonstrating training, predictions, and weight updates with sigmoid activation.

binary-classification data-science from-scratch gradient-descent logistic-regression machine-learning python sigmoid-activation

Last synced: 03 May 2026

https://github.com/itancio/diabetesclassification

Classify a diabetes diagnosis based on patients' data.

binary-classification machine-learning

Last synced: 15 May 2026

https://github.com/Zen204/airbnb-availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 02 Apr 2025

https://github.com/chutrunganh/fraud-credit-card-detection-group-17

🤖 The Fraud Credit Card Detection project aims to identify fraudulent transactions in credit card usage through the application of various machine learning methods, thereby improving the security of credit card operations and safeguarding users' financial assets.

binary-classification capstone-project classification credit-card-fraud credit-card-fraud-detection hust machine-learning

Last synced: 08 May 2026

https://github.com/zen204/airbnb-availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 21 Jan 2026

https://github.com/kesharwaniarpita/hypertensive-retinopathy

This repository contains my research work done for summer research fellowship under Indian Academy Of Sciences. This work include prediction of Hypertensive Retinopathy from fundoscopy images using binary classification. For this research, I have used various deep learning and machine learning models and dataset was taken from Codalab.from

ai binary-classification deep-learning machine-learning research-paper

Last synced: 29 Jun 2025

https://github.com/hvignolo87/marketing-campaign-classification

Real case of classification with machine learning. Analysis of real data from telemarketing campaigns of a Portuguese bank.

binary-classification data-science pandas python scikit-learn xgbclassifier xgboost

Last synced: 12 Apr 2026

https://github.com/roymasad/cnntools

Cats and Dogs Binary Image Classification with Pytorch CNN

ai binary-classification django machine-learning python3 pytorch

Last synced: 30 Apr 2026

https://github.com/bijoy-sust/binary-text-classification--word2vec-svm

A Python implementation of a binary text classifier using Word2Vec and SVM.

binary-classification python-implementation svm-classifier text-classification word2vec-model

Last synced: 03 Jul 2025

https://github.com/hafeez-urrehman/gender-classification

Gender-Classification is a machine learning project that predicts gender based on various characteristics such as hair, height, and other physical attributes. This project involves data preprocessing, feature selection, data visualization and applying classification algorithms to achieve accurate gender predictions.

binary-classification data-science gender-classification machine-learning machine-learning-algorithms male-female

Last synced: 26 Oct 2025

https://github.com/nemeslaszlo/lending-club-analysis

Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.

binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow

Last synced: 12 Apr 2026

https://github.com/dor-sketch/binary-perceptron-simulator

A Python-based project that utilizes perceptron neural networks to classify 21-digit binary numbers into categories based on the presence of 'ones'.

ai binary-classification perceptron

Last synced: 15 Mar 2025

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 07 Apr 2026

https://github.com/iskage/r-course-pj

Chest CT-Images Binary Classification (R Course Project)

binary-classification cluster cnn logistic-regression maxpooling pca python r

Last synced: 17 May 2026

https://github.com/muneeb706/patient-no-show

Patient No Show Predictive Modeling Using RIPPER and Hoeffding Trees Algorithms

binary-classification hoeffding-trees interpretable-machine-learning predictive-modeling ripper shap

Last synced: 26 Mar 2025

https://github.com/hnthap/cat-dog-classification

Cat-Dog Image Classification: training, evaluation and inference (98% accuracy on test set).

binary-classification cat dog efficientnet image-classification image-processing pytorch torchvision

Last synced: 15 May 2026

https://github.com/virginioc/software-anti-spam

Modello di Machine Learning sviluppato in Python con scikit-learn per la classificazione delle email SPAM con successiva analisi dei topic con LDA e riconoscimento delle organizzazioni tramite NER.

binary-classification ner nlp scikitlearn-machine-learning topic-modeling

Last synced: 16 Feb 2026

https://github.com/sandarurf/heart-failure-prediction-ml

Predicts heart failure using logistic regression on clinical data.

binary-classification logistic-regression machine-learning

Last synced: 17 Mar 2025

https://github.com/halacoded/churn-prediction-model-based-on-huawei-smartcare

Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis capabilities using public telecom data.

binary-classification churn-prediction huawei huawei-internship internship kuwait kuwait-university machine-learning telecommunications

Last synced: 08 Sep 2025

https://github.com/barrettotte/anilist-ml

Training a binary classifier model to predict if I would recommend an anime using my Anilist user data.

anilist binary-classification data-visualization machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/glgl0x00/skin_cancer_detection

A machine learning project that predicts skin cancer risk by analyzing lesion images and patient metadata. The system combines image and structured data processing to enhance diagnostic accuracy.

artificial-intelligence aws aws-apigateway aws-lambda binary-classification detection jupyter-notebook machine-learning python3 s3 sagemaker-studio skin-cancer-detection

Last synced: 27 Mar 2025

https://github.com/arsalanzabeeb786/tyre-helath-quality-prediction

This repository contains the code for detecting vehicle tire conditions using a deep learning model. The model classifies tire images into two categories: "perfect" and "defective" using transfer learning with MobileNet_v2.

binary-classification computer-vision deep-learning image-classification roboflow tire-detection transfer-learning vehicle-safety

Last synced: 04 Apr 2025

https://github.com/sayande01/fake_news_prediction_machine_learning

This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.

binary-classification decison-trees gradient-boosting-classifier logistic-regression random-forest

Last synced: 10 Jul 2025

https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3

Last synced: 10 Jul 2025

https://github.com/herdiansc/gender_by_mm

An experimentation on gender classification using neural network with keras

binary-classification keras machine-learning neural-network

Last synced: 17 May 2026

https://github.com/msikorski93/credit-card-fraud-detection

A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

adasyn balanced-bagging binary-classification class-imbalance-handling credit-card-fraud f1-score k-means k-nearest-neighbors light-gradient-boosting-machine logistic-regression naive-bayes near-miss random-oversampling random-undersampling resampling-methods smote-enn tensorflow

Last synced: 19 May 2026

https://github.com/robinmillford/classifying-ai-generated-and-real-art

classify images as AI-generated art or Real art using a fine-tuned MobileNetV2 model. The model utilizes transfer learning to achieve high accuracy and interpretability through Grad-CAM visualizations

ai-art binary-classification classifier grad-cam image-classification mobilenetv2 real-art streamlit-webapp transfer-learning

Last synced: 29 Mar 2025

https://github.com/annaanastasy/mushroom-binary-classification-eda-ml

Explored and modeled a competition dataset of mushroom species, focusing on data cleaning, exploratory data analysis, and building machine learning models for accurate classification of edible and poisonous mushrooms.

binary-classification data data-cleaning-and-preprocessing data-science exploratory-data-analysis machine-learning-algorithms xgboost-classifier

Last synced: 29 Mar 2025

https://github.com/stefagnone/bank_churn_prediction

Predicting customer churn using a binary classification model based on the Bank Churn dataset. This project involves handling missing data, training a model on key customer metrics, and assessing model accuracy, specificity, and sensitivity.

binary-classification customer-churn-predictio data-cleaning machine-learning model-evaluation r-programming

Last synced: 05 Apr 2025

https://github.com/srineogi/automl-classifier

Binary Classification problem. Contains Classifiers from various AutoML libraries such as AutoGluon, FLAML, Lazypredict, & TPOT

autogluon automated-machine-learning automl binary-classification classification flaml lazypredict machine-learning prediction tpot tpot-classifier

Last synced: 08 Jun 2026

https://github.com/msikorski93/logistic-regression-classifier-from-scratch

Logistic regression created in Python for binary classification.

binary-classification from-scratch logistic-regression python wbcd

Last synced: 19 May 2026

https://github.com/cyprianfusi/predicting-listing-gains-in-the-indian-ipo-market-using-tensorflow

A test accuracy of 75% with just 319 observations is encouraging but not good enough. With more observations and further tweaking, a much higher accuracy could be achieved. Listing gains are the percentage increase in the share price of a company from its IPO issue price on the day of listing

binary-classification deep-learning keras neural-networks python3 regularization tensorflow

Last synced: 19 Apr 2026

https://github.com/sayande01/phising_url_detection_randomforest

This project builds a robust binary classification system to detect phishing websites using URL features like SSL state, web traffic, and domain patterns. Achieving 97% accuracy, 96.8% precision, and 0.9953 ROC-AUC, it ensures reliable, efficient detection with interpretable insights.

binary-classification logistic-regression random-forest-classifier roc-analysis svc

Last synced: 17 Oct 2025

https://github.com/sayamalt/travel-insurance-claim-prediction

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

binary-classification cross-validation data-cleaning-and-preprocessing exploratory-data-analysis feature-engineering hyperparameter-tuning model-training-and-evaluation supervised-machine-learning

Last synced: 28 Jun 2025

https://github.com/abdubakr77/drowsiness-detection-eye-state-classification

Binary image classification (Awake vs Sleepy) using deep learning on infrared eye images from the MRL Eye Dataset (~85K images). Built with transfer learning for real-time drowsiness detection.

binary-classification computer-vision deep-learning drowsiness-detection eye-state-classification image-classification infrared-images mrl-eye-dataset pytorch transfer-learning

Last synced: 12 Jun 2026

https://github.com/allanotieno254/loan-approval-prediction

This project predicts whether a loan application will be approved or rejected based on various applicant details.

binary-classification data-preprocessing deep-learning evaluation-metrics feature-engineering normalization tensorflow

Last synced: 18 May 2026

https://github.com/samuelhoover/skin-cancer-classification

Binary classification of benign and malignant skin growths using images, feature engineering, and SVMs.

binary-classification computer-vision skin-cancer-classification support-vector-machines

Last synced: 17 Aug 2025

https://github.com/samchenyu/pokemonneuralnetwork

Legendary and Type Classification Neural Networks

binary-classification neural-network pokemon tensorflow

Last synced: 10 Nov 2025

https://github.com/francescopiocirillo/bayesian-map-vs-logistic-regression

Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.

bayesian-classifier binary-classification classification-algorithm data-science gradient-descent jupyter-notebook logistic-regression machine-learning map-estimation monte-carlo-simulation probabilistic-models python statistical-modeling supervised-learning

Last synced: 17 May 2026

https://github.com/priyankagnana/deepshield

DeepShield is a real-time deepfake face detection system built using EfficientNet-B0 and transfer learning, achieving 92% F1-score on 140K face dataset.

artificial-intelligence binary-classification cnn computer-vision cybersecurity deepfake-detection efficientnet-b0 face-classification image-classification machine-learning pytorch transfer-learning

Last synced: 07 Mar 2026

https://github.com/nirmit27/dog-vs-cat-classification

A binary image classification model based on Transfer Learning for distinguishing images of dogs from cats.

binary-classification deep-learning glob image-classification image-processing jupyter-notebook machine-learning opencv opencv2 python tensorflow transfer-learning

Last synced: 09 May 2026

https://github.com/tsopermon/comparison-ml-algorithms

This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary classification tasks using linearly, non-linearly, and marginally separable datasets from the Iris dataset. It includes MATLAB implementations, 10-fold cross-validation, and visualizations of decision boundaries and MSE histories.

adaline binary-classification classification-accuracy cross-validation data-visualization decision-boundaries iris-dataset logistic-regression machine-learning matlab mse neural-networks perceptron

Last synced: 15 Mar 2025

https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria

🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente

backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python

Last synced: 18 Nov 2025

https://github.com/sayamalt/credit-card-approval-prediction

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation

Last synced: 09 Nov 2025

https://github.com/sayamalt/employee-attrition-prediction

Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.

binary-classification continuous-deployment continuous-integration cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 08 Oct 2025

https://github.com/denizetkar/lightgbm_test

My personal collection of LightGBM test codes

binary-classification lightgbm

Last synced: 02 Sep 2025

https://github.com/vlada-pv/catboost-docker-image

The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.

binary-classification catboost docker flask

Last synced: 19 Apr 2026

https://github.com/emogooo/cesarean-birth-predictor

AI model using sklearn to predict cesarean birth suitability based on 80 records.

binary-classification sklearn

Last synced: 14 Mar 2025

https://github.com/emogooo/deep-learning-for-lung-disease-detection

Deep learning project detecting lung diseases from X-rays, examining hyperparameter effects and transfer learning.

binary-classification cnn-keras multiclass-classification

Last synced: 14 Mar 2025

https://github.com/a1573595/realtimecamera

real-time camera example for Tensorflow Lite on Android, can be executed on the ASUS Zenbo & Junior robot.

binary-classification java mobilenetv2 multiclass-classification object-detection tensorflow-lite

Last synced: 14 Mar 2025

https://github.com/sim1-99/hiv-cleavage-prediction

Repository for the course of Machine Learning for Physicists, AY 2022/2023, TU Dortmund.

binary-classification cleavage-sites hiv-1 proteasomal-cleavage supervised-learning

Last synced: 03 Jul 2025

https://github.com/hayatiyrtgl/julia-image-classification-svm

The code loads dog and cat images, extracts HOG descriptors, labels them, splits the data into training and test sets, trains an SVM model, and predicts a test image.

binary-classification image-processing juli julia-language

Last synced: 17 Mar 2026

https://github.com/mateusjssilva/neural-network

Java implementation of a simple neural network for binary classification. The neural network architecture consists of three layers: an input layer, a hidden layer, and an output layer.

binary-classification java neural-network

Last synced: 30 Mar 2025

https://github.com/architj6/cancerguardian

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀

binary-classification breast-cancer-prediction classification-models data-science data-visualization deep-learning healthcare healthcare-ai machine-learning medical-ai medical-diagnostics predictive-analytics python streamlit supervised-learning

Last synced: 01 May 2026

https://github.com/jprmaulion/bayesopt-gb-seismic-liquefaction-liq7

Bayesian-optimized gradient boosting for seismic liquefaction prediction with geographic stratified CV on the LIQ/7/2833 global database.

bayesian-optimization binary-classification gradient-boosting lightgbm liquefaction machine-learning python scikit-learn shap shear-wave-velocity soil-mechanics xgboost

Last synced: 29 May 2026

https://github.com/safwanshamsir99/breast-cancer-prediction

Trained more than 500 data to classify into 2 categories namely Benign and Malignant.

binary-classification logistic-regression streamlit-webapp

Last synced: 01 Apr 2025

https://github.com/lahiruprasad12/sentiment_analysis

This project is a sentiment analysis tool developed to automatically identify whether customer feedback messages regarding a product are positive or negative. The tool is built using Flask, a lightweight web framework in Python, and leverages Machine Learning (ML) techniques for sentiment classification.

binary-classification decision-trees flask-application linear-regression logistic-regression machine-learning random-forest

Last synced: 29 Nov 2025

https://github.com/irishmorales/online-shopping-analysis

Binary classification of online shoppers who end up purchasing or abandoning the purchase to determine which factors lead towards customer purchase. Based on Online Shoppers Purchasing Intention Dataset.

binary-classification exploratory-data-analysis python

Last synced: 22 Mar 2025

https://github.com/laavanjan/pytorch-tabular-classification

This project demonstrates how to build a binary classification model for tabular data using PyTorch.

binary-classification deep-learning kaggle-dataset pandas pytorch sklearn

Last synced: 13 Apr 2026

https://github.com/camillerob/skin_classification_cnn

Developed a Convolutional Neural Network (CNN) model to classify binary images, distinguishing between infected and non-infected skin across various complexions.

binary-classification convolutional-neural-networks python

Last synced: 09 May 2026

https://github.com/tsongglod123/predict-survival-on-the-titanic

For practicing a machine learning understanding

binary-classification

Last synced: 06 Sep 2025

https://github.com/inesruizblach/data-science-project

A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.

binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality

Last synced: 09 May 2026

https://github.com/mahnoorsheikh16/explainable-fake-news-detection-and-personalized-credible-recommendation-via-graphml

System for detecting fake news and suggesting credible alternatives. Takes a news URL and outputs a credibility score, explanation, and top reliable sources. Uses TF-IDF + Logistic Regression, XGBoost, and DistilBERT with hybrid BERT–LightGCN models, plus SHAP and GNNExplainer for interpretability.

bert-embeddings binary-classification distilbert embedding-models fake-news-detection gnn-explainer graphml graphsage lightgcn logistic-regression pytorch recommendation-system shap tf-idf xgboost-classifier

Last synced: 08 Oct 2025

https://github.com/haydenhigg/percy

Quick, straightforward, and easy-to-use Go implementations of the Perceptron and Averaged Perceptron binary classifiers.

binary-classification classifier go golang machine-learning perceptron weights-and-biases

Last synced: 14 Jan 2026

https://github.com/miozilla/conmatrix

conmatrix :1234::alien::checkered_flag: : Confusion Matrix # Data Imbalance # Evaluation # Weights & Biases

accuracy azureml bias binary-classification classification-model confusion-matrix dataset evaluate false-positive-rate fn fp imbalanced-data precision recall roc sensitivity specificity tn tp weight

Last synced: 10 Oct 2025

https://github.com/cloaky233/datastreams

Real-time cat/dog image classifier using Kafka and CNN. Sender uploads images to Kafka, receiver processes with pre-trained model, returns predictions via Kafka. Demonstrates distributed, scalable image processing with instant feedback. Uses TensorFlow, OpenCV, and Kafka for efficient, asynchronous communication.

binary-classification data-streaming kafka kafka-basic

Last synced: 11 Oct 2025

https://github.com/steviecurran/money-launder

Machine learning prediction of customers suspected of laundering money

binary-classification decision-trees finance logistic-regression machine-learning nearest-neighbors prediction

Last synced: 26 Oct 2025

https://github.com/brossend/automl_bank_project

Automated ML pipeline for the UCI Bank Marketing dataset: ETL, Optuna-based AutoML, model evaluation, MLflow logging, pytest tests, Docker, and CI/CD.

automl bank-marketing binary-classification ci-cd classification data-science docker docker-compose etl github-actions gitlab-ci machine-learning ml-pipeline mlflow model-monitoring optuna pytest python scikit-learn uci-dataset

Last synced: 02 Jun 2026

https://github.com/safwanshamsir99/covid19-symptoms-prediction

Trained more than 5000 data to categorize either the patient is positive in the result of Covid-19 or not.

binary-classification kaggle-dataset random-forest streamlit

Last synced: 16 Apr 2026