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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/Mahlet-Inc/hobbits

A multi-platform GUI for bit-based analysis, processing, and visualization

binary-classification cpp hexeditor python qt reverse-engineering software-defined-radio visualization

Last synced: 14 Mar 2025

https://github.com/dangnh0611/kaggle_rsna_breast_cancer

1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

binary-classification breast-cancer class-imbalance convnext deep-learning kaggle machine-learning mamography rsna yolo

Last synced: 25 Apr 2025

https://github.com/urbslab/streamline

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

automl-pipeline binary-classification data-science data-visualization feature-selection imputation machine-learning model-application statistical-analysis supervised-learning

Last synced: 12 Jul 2025

https://github.com/devanshkv/fetch

A set of deep learning models for FRB/RFI binary classification.

binary-classification deep-learning fast-radio-bursts transfer-learning

Last synced: 09 Jul 2025

https://github.com/orchardbirds/bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

binary-classification custom-loss-functions evaluation-metrics focal-loss lightgbm loss-functions regression rmspe xgboost

Last synced: 22 Apr 2025

https://github.com/chen0040/js-regression

Package provides javascript implementation of linear regression and logistic regression

binary-classification javascript linear-regression linear-regression-models logistic-regression mlr nodejs

Last synced: 13 Oct 2025

https://github.com/chen0040/keras-malicious-url-detector

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

binary-classification convolutional-neural-networks lstm malicious-url recurrent-neural-networks url-detector

Last synced: 24 Jul 2025

https://github.com/ikegami-yukino/oll-python

Online machine learning algorithms (based on OLL C++ library)

alma binary-classification machine-learning online-learning perceptron

Last synced: 10 Jul 2025

https://github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning

Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.

binary-classification breast-cancer breast-cancer-prediction machine-learning manipal manipal-institute wisconsin

Last synced: 09 Jul 2025

https://github.com/artesiawater/traval

:chart_with_upwards_trend: Tools for applying automatic error detection schemes to timeseries

automatic binary-classification comparison error-detection timeseries validation visualization

Last synced: 15 Jun 2025

https://github.com/siddh30/The-Airbnb-Classification-Project

This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.

airbnb binary-classification data-mining kaggle-challenge multi-class-classification r-programming

Last synced: 30 Jul 2025

https://github.com/cloudera/cml_amp_canceled_flight_prediction

Perform analytics on a large airline dataset with Spark and build an XGBoost model to predict flight cancellations.

binary-classification flask pyspark xgboost

Last synced: 13 Apr 2025

https://github.com/jespb/python-m3gp

An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm

binary-classification classification clustering evolutionary-algorithm evolutionary-algorithms evolutionary-computation genetic-programming machine-learning multiclass-classification

Last synced: 28 Aug 2025

https://github.com/jespb/python-stdgp

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

binary-classification classification evolutionary-algorithms evolutionary-computation genetic-programming machine-learning regression-algorithms regression-models regression-trees

Last synced: 28 Aug 2025

https://github.com/shunk031/attention-meets-perturbation

📝 Official Implementation of "Attention Meets Perturbation: Robust and Interpretable Attention with Adversarial Training"

adversarial-training allennlp attention-mechanism binary-classification ieee interpretability natural-language-inference natural-language-processing pytorch question-answering robustness

Last synced: 18 Aug 2025

https://github.com/sayamalt/company-bankruptcy-prediction

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 31 Aug 2025

https://github.com/ggeop/binary-classification-ml

Machine Learning Project, build a Binary Classification Function in Python.

binary-classification jupyter-notebook numpy pandas python sklearn

Last synced: 25 Aug 2025

https://github.com/chen0040/java-libsvm

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

anomaly-detection binary-classification java libsvm libsvm-format multi-class-classification one-class-learning outlier-detection regression supervised-learning svm unsupervised-learning

Last synced: 01 Jul 2025

https://github.com/kyosek/cfxplorer

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

adaboost algorithmic-recourse binary-classification counterfactual-explanations decision-tree machine-learning optimization python python3 random-forest tree-based-models

Last synced: 20 Jun 2025

https://github.com/ahmedshahriar/customer-churn-prediction

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

binary-classification catboost classification-models customer-churn-prediction ensemble-classifier hyperparameter-optimization kaggle lightgbm optuna pandas-python scipy stacking-ensemble xgboost

Last synced: 27 Sep 2025

https://github.com/basemax/binarytreepython

T.B.T: A software to analyze a octal number and generate formula to produce graph. (Phd Project in mathematics field, Article)

binary-analysis binary-classification binary-tree binary-trees graph graph-algorithms graph-theory python python3 tbt

Last synced: 03 Apr 2025

https://github.com/thequantscientist/cryptmage

[Financial Innovation] The official repo for the paper: "CryptMAGE: Vision Transformer for Intraday Cryptocurrency Time Series Price Movements Recognition".

binary-classification computer-vision irregular-time-series time-series-image-based-representations vision-transformer

Last synced: 18 Mar 2025

https://github.com/raihan4520/neural-network

This repository features a 3-layer neural network built from scratch in Python, alongside TensorFlow and PyTorch versions.

binary-classification binary-cross-entropy gradient-descent neural-networks-from-scratch python pytorch tensorflow

Last synced: 03 Jul 2025

https://github.com/shervinnd/blood-donor-availability-predictor

A deep learning model to predict blood donor availability using TensorFlow and sklearn. Features data preprocessing, neural network training, and ROC curve visualization. Achieve high accuracy in predicting donor status! 🩺💉

binary-classification blood-donation blood-donor-prediction data-preprocessing deep-learning healthcare-ai machine-learning medical-data-analysis neural-network predictive-modeling python roc-curve scikit-learn tensorflow

Last synced: 11 Oct 2025

https://github.com/balaka-18/svm-series

A series of notebooks on Support Vector Machine algorithm

binary-classification supervised-learning svm svm-training

Last synced: 26 Sep 2025

https://github.com/koldim2001/transfer_learning_cnn

Бинарная классификация рентгеновских снимков грудной клетки. Определение наличия пневмонии у пациентов при помощи различных CNN архитектур. Использование метода Transfer Learning

arxiv-papers binary-classification cnn deep-learning densenet pneumonia-classification pytorch resnet transfer-learning xray-images

Last synced: 24 Feb 2025

https://github.com/koldim2001/emotion_classifier

Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях

binary-classification classic-machine-learning discriminant-analysis emotion-recognition face-detection gabor-feature-extraction lda multiclass-classification pca

Last synced: 24 Feb 2025

https://github.com/itdxer/adult-dataset-analysis

👥 ➡️ 💰 Analysis and classification model for the adult dataset

adult-dataset analysis binary-classification classification

Last synced: 06 May 2025

https://github.com/chen0040/js-svm

Package provides javascript implementation of support vector machines

binary-classification kernel-svm kernels linear-svm multi-class-classification support-vector-machines

Last synced: 15 Aug 2025

https://github.com/raphaelsenn/detect-ai-written-text

Detect AI generated text, logistic regression neural network, written in raw python (just using numpy, no pytorch).

artificial-neural-networks binary-classification deep-learning deep-neural-networks neural-network python3

Last synced: 13 Apr 2025

https://github.com/kasanaa/perceptron

this side quest is an image recognition model based on classification.

binary-classification image-classification machine-learning mnist-classification mnist-dataset

Last synced: 09 Apr 2025

https://github.com/bijoy-sust/binary-text-classification--doc2vec-svm

A Python implementation of a binary text classifier using Doc2Vec and SVM.

binary-classification doc2vec-model python-implementation svm-classifier text-classification

Last synced: 15 Jun 2025

https://github.com/mikamiv/tamuhack2023

I had the great fortune to contribute greatly to two team projects for TAMUhack 2023. I intend to develop both projects in my own ways in the near future.

binary-analysis binary-classification binary-data blackjack-game casino-games discrete-mathematics fake-gambling quantum-computing quantum-information randomizer-algorithm slot-machine

Last synced: 01 Sep 2025

https://github.com/krishnaura45/insurelead

🧪Predictive Modeling for Insurance Cross-Selling Response 🔥 Deep-ensemble approach

ann binary-classification blending boosting ensemble-learning insurance kaggle-competition ml stacking

Last synced: 13 Jun 2025

https://github.com/g-wtham/realtime-gender-classification

A gender classification system capable of accurately predicting the gender of individuals from facial images, using pre-trained models

adience-dataset binary-classification caffemodel gender-classification realtime

Last synced: 14 Jul 2025

https://github.com/antonioscardace/tina

Model for Identification of Alzheimer's Disease by Brain MRI.

adni alzheimers-disease binary-classification brain-mri densenet medical-imaging monai

Last synced: 18 Mar 2025

https://github.com/dirkschumacher/losep

An R package to detect seperation in binary classification models using linear programming

binary-classification linear-programming logistic-regression maximum-likelihood-estimation r

Last synced: 07 Jul 2025

https://github.com/glencrawford/australia_rain_tomorrow_binary_classification_prediction

Binary classification model to predict whether or not it will rain tomorrow with a Tensorflow/Keras and scikit-learn neural network.

binary-classification classification keras machine-learning neural-network python scikit-learn tensorflow

Last synced: 21 Jun 2025

https://github.com/shervinnd/imdb-sentiment-analysis-lstm

🔍 Dive into sentiment analysis with this LSTM model on the IMDB dataset! Classify movie reviews as positive or negative with high accuracy. 📊 Features ROC curves, custom predictions, and TensorFlow-powered training. Explore code, visualizations, and results.🚀

binary-classification data-science deep-learning imdb-dataset jupyter-notebook lstm machine-learning natural-language-processing neural-networks nlp python roc-curve sentiment-analysis tensorflow text-classification

Last synced: 15 Sep 2025

https://github.com/singhxtushar/client-retention-insight

Client-Retention-Insight is a churn classification project to predict whether the customer will Exited or not using the ANN implementation by tensorflow. We have also performed regression on the EstimatedSalary feature and done the HyperparameterTunning to find the best possible parameters for the model.

ann-model binary-classification churn-prediction hyperparameter-tuning keras regression-analysis streamlit tensorflow

Last synced: 14 Oct 2025

https://github.com/pkgforge-dev/elftools

Tools & Libraries for manipulating ELF Files [Maintainers=@QaidVoid|@Azathothas]

binary-classification binary-exploitation elf elf-packer elf-parser goblin pyelftools

Last synced: 27 Jun 2025

https://github.com/robinmillford/art-intelligence-hub

Streamlit application that showcases advanced deep learning models for art analysis. It includes two main tools: an Artwork Authenticity classifier to distinguish between AI-generated and human-made art, and an Art Style Ensemble Classifier that identifies the artistic style of a painting.

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

Last synced: 07 Sep 2025

https://github.com/ahmedshahriar/telco-customer-churn-prediction-streamlit-app

This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset

binary-classification binary-classifiers data-science jupyter-notebook machine-learning pandas python scikit-learn sklearn stacking-ensemble streamlit streamlit-webapp

Last synced: 13 Apr 2025

https://github.com/orhunyildiz/binaryclassification

I worked on this project at my internship. This project is basically about binary classification made on Python.

binary-classification logistic-regression python

Last synced: 14 Jun 2025

https://github.com/alejo1630/grades_college_analysis

A Jupyter Notebook with the analysis and prediction of Final Grades (Pass/Fail) for students of mechatronics engineering in several mechanic courses.

binary-classification college-grade cross-validation data-visualization exploratory-data-analysis feature-engineering jupyter-notebook recursive-feature-elimination regression-models

Last synced: 20 Feb 2025

https://github.com/rahulguptagzb09/ann-keras-binary-classification

Artificial Neural Network Using Keras For Binary Classification

artificial-neural-networks binary-classification dnn keras python3

Last synced: 29 Dec 2025

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: 06 Oct 2025

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: 04 Apr 2025

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: 16 Jul 2025

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: 21 Feb 2025

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/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/itancio/encryption

Classify a diabetes diagnosis based on patients' data.

binary-classification machine-learning

Last synced: 18 Jun 2025

https://github.com/moozunch/madhumeha

Diabetes risk predictor assistant for healthcare workers with neural networks binary classification

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

Last synced: 23 Jun 2025

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: 07 Apr 2025

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/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: 22 Feb 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: 24 Dec 2025

https://github.com/mgunawardhana/sentiment-analysis-learning

Sentiment analysis uses natural language processing and machine learning techniques to analyze the emotional tone or sentiment behind a piece of text. It involves identifying and categorizing opinions expressed in a text as positive, negative, or neutral.

anaconda binary-classification jupiter-notebook kaggle natural-language negative positive sentimental-analysis tweets

Last synced: 22 Mar 2025