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GitHub topics: binary-classification

maxim-francesco/stroke-prediction-intelligent-systems

Machine learning pipeline for binary classification on stroke prediction using Logistic Regression, Decision Trees, and Random Forest – academic project for the Intelligent Systems course.

Language: Jupyter Notebook - Size: 162 KB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 0 - Forks: 0

krishnaura45/tbp-skin-detect

⚔️ISIC Competition 🧪Feature Extraction and Ensemble

Language: Jupyter Notebook - Size: 450 KB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 2 - Forks: 0

MuhammadUsman-Khan/Rock-Mine-Prediction

A machine learning model using Logistic Regression to classify sonar signals as either a rock or a mine. Built for underwater object detection systems used by submarines.

Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

lrosenplaenter/DiaMetrics_DE

DiaMetrics_DE is the German version of Diametrics: a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.

Language: JavaScript - Size: 210 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

JaiminVadadoriya/Movie-Recommendation-System-Using-Supervised-Learning

A binary classification machine learning project built with PyTorch, using the MovieLens 100k dataset. The model predicts whether a user will like a movie (rating ≥ 4) based on user and movie IDs using embeddings and a feedforward neural network.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

KatherineMossDeveloper/The-Georgia-Project

Study of the cropped images in the OpenCrystalData dataset on Kaggle

Language: Python - Size: 9.65 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Awais-Asghar/Skin-Cancer-Binary-Classifier

A machine learning project for binary classification of skin cancer as malignant or benign, utilizing models like XGBoost, LGBM Classifier, Adaboost, SVM, and Logistic Regression. Features comprehensive data preprocessing, model training, and evaluation for accurate diagnosis.

Language: Jupyter Notebook - Size: 5.65 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

anu-gtb/campusPlacement

Link to Streamlit app :

Language: Jupyter Notebook - Size: 361 KB - Last synced at: 1 day ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

AndyKocak/NeuralNet-C

A highly modular and beginner friendly C framework to build and train MLP Neural Networks

Language: C - Size: 125 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

svn-code/credit-card-fraud-detection

💳 Credit Card Fraud Detection App :- A Streamlit app using Logistic Regression (94% accuracy) for binary fraud detection. Note: Due to confidentiality, original features are unavailable. Features V1–V28 are PCA components; only Time and Amount remain untransformed.

Language: Jupyter Notebook - Size: 837 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

tezzytezzy/bank-account-fraud-analysis

Binary classification model research

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

itakurah/Focal-loss-PyTorch

Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection

Language: Python - Size: 158 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 15 - Forks: 2

semasuka/Credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 274 - Forks: 100

jwcarman/netwerx

A lightweight, extensible deep learning library for Java

Language: Java - Size: 1.83 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 2 - Forks: 0

isKage/r-course-pj

Chest CT-Images Binary Classification (R Course Project)

Language: Python - Size: 289 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

moozunch/Madhumeha

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

Language: Dart - Size: 1.01 MB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

Jeremy-Cleland/sepsis-early-detection

This project aims to predict sepsis in patients using advanced machine learning models. The workflow encompasses data preprocessing, feature engineering, class imbalance handling, hyperparameter optimization, model training, evaluation, model card generation, and model registry management for reproducibility and scalability.

Language: HTML - Size: 47 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

davutbayik/socialmedia-ads-purchase-prediction

🎯 Social media ad purchase predictor using Streamlit and FastAPI — clean UI + real-time ML predictions!

Language: Jupyter Notebook - Size: 241 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Francis-Calingo/Fake-News-Classification-Model-Kaggle

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 1

SuryaVamsi-P/Credit-Card-Fraud-Detection-ML

Built a machine learning pipeline to detect fraudulent credit card transactions using real-world data (1M+ rows). Explored fraud patterns, validated key hypotheses, and optimized models like KNN, Random Forest, and SVM with 98%+ recall. Strong focus on data insights & impact.

Language: Python - Size: 4.88 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

neviektripoli/popcorn-lung-xray-pytorch-monai

A deep learning classifier built with PyTorch and MONAI to detect Popcorn Lung (Bronchiolitis Obliterans) from chest X-ray images. This binary classifier uses a fine-tuned ResNet18 model includes full training and evaluation pipelines and is designed to be Google Colab-ready for rapid prototyping and testing in medical imaging research.

Language: Python - Size: 6.84 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

davhbrown/interactive_classification_metrics

Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.

Language: Python - Size: 36.6 MB - Last synced at: about 23 hours ago - Pushed at: 5 months ago - Stars: 13 - Forks: 0

th3-riddler/Mushroom-Binary-Classifier

A simple binary classification project which detects whether a mushroom is edible or not

Language: Jupyter Notebook - Size: 4.53 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

TonioBay/Focal_loss_for_churn_prediction

Binary clasiffication for customer churn using focal loss for imbalanced data.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

miles-howell/fruit_classifier

An educational example of binary classification using a basic neural network built without ML libraries.

Language: Python - Size: 5.86 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

mananjain0220/ParkinsonClassifier-WearableML

🧠 Binary classification of Parkinson’s Disease using wearable sensor data and clinical symptoms. Built with Python, SHAP, and tree-based models on the PADS dataset.

Language: Jupyter Notebook - Size: 8.37 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

tipaek/NestedBigramsResearch

Code for "Detection of LLM-Generated Java Code Using Discretized Nested Bigrams" (arXiv:2502.15740). Achieves state-of-the-art performance in distinguishing human vs. LLM-written Java.

Language: Java - Size: 229 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

akhil-b-26/automotive-vehicle-engine-health-detection-deeplearning

A high-accuracy deep learning model that classifies vehicle engine health as Healthy or Unhealthy based on real-time sensor data. Built using TensorFlow/Keras and trained on a Kaggle dataset to support predictive maintenance.

Language: Jupyter Notebook - Size: 437 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

sb-ai-lab/LightAutoML

Fast and customizable framework for automatic ML model creation (AutoML)

Language: Python - Size: 97.6 MB - Last synced at: 16 days ago - Pushed at: 23 days ago - Stars: 1,359 - Forks: 62

pkgforge-dev/elftools

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

Language: Rust - Size: 10.7 KB - Last synced at: 1 day ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

nhansen24/UCI_BreastCancer

UCI Breast Cancer Dataset - ML Pipeline Project

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

Assem-ElQersh/Face-Mask-Detection-System

A robust deep learning system to detect whether individuals are wearing face masks properly or not. This project uses PyTorch and the MobileNetV2 architecture for efficient and accurate mask detection.

Language: Python - Size: 326 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Mingggggggggggggg/SIIM-ISIC-Melanoma-Classification-Student-Project

SIIM-ISIC Melanoma Classification

Language: Jupyter Notebook - Size: 36 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dmazilkin/NN-Binary-Classification

Neural network for Binary classification problem.

Language: Jupyter Notebook - Size: 463 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Thanos2002/Pleasant_Unpleasant_Faces_RESNET_CNN

Developed an automated decision system capable of classifying facial images into two emotion categories—pleasant or unpleasant—using deep learning and transfer learning techniques.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

UrbsLab/STREAMLINE

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

Language: Jupyter Notebook - Size: 595 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 76 - Forks: 11

krishnaura45/InsureLead

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

Language: Jupyter Notebook - Size: 269 KB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

jespb/Python-StdGP

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

Language: Python - Size: 38.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 9

fasttrees/fasttrees

A fast and frugal tree classifier for sklearn

Language: Python - Size: 213 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 5

Moez-lab/Spam-Email-Detector

A simple machine learning project that classifies emails as Spam or Ham using Logistic Regression and TF-IDF vectorization. Built with Python and scikit-learn.

Language: Python - Size: 204 KB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rezafawazul/ad_click_prediction

🎯 Can we predict who clicks the ads? This beginner ML project explores just that — using Python & scikit-learn!

Language: Jupyter Notebook - Size: 569 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

canary-for-cognition/multimodal-dl-framework

An extensible PyTorch framework to experiment with neural-networks-based deep learning algorithms on multiple data modalities for binary classification.

Language: Python - Size: 2.22 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 3

closest-git/LiteMORT

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

Language: C++ - Size: 1.47 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 58 - Forks: 9

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

samresume/AI-Code-Detection

This project investigates the detection of AI-generated code versus human-written code, addressing academic integrity concerns in educational settings where generative models (e.g., ChatGPT, Codex) are increasingly used.

Language: Jupyter Notebook - Size: 680 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

steviecurran/money-launder

Machine learning prediction of customers suspected of laundering money

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

tSopermon/ML-Algorithms-custom-implementations-aivc-project

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.

Language: MATLAB - Size: 1.35 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

elaheghiyabi96/breast-cancer-prediction-mlp

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ArtesiaWater/traval

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

Language: Python - Size: 1.19 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 12 - Forks: 1

NMBU-Data-Science/RENT

Feature selection method based on repeated elastic net.

Language: Python - Size: 25 MB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 6

sushant1827/Machine-Learning-for-Predictive-Maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

MUHAMMADAKMAL137/Pytorch_Training_Pipeline_Using_Dataset_And_Dataloader_Class.ipynb

Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jespb/Python-M3GP

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

Language: Python - Size: 140 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 1

SeoBuAs/LG_Aimers_6th_Predicting_Pregnancy_Success_in_Infertility_Patients

LG Aimers 6th Hackathon Project Deliverables / LG Aimers 6기 과제 수행물

Language: Python - Size: 784 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

kianaseraj/DeepPPI

Deep learning-based ppi predictor using PyTorch

Language: Python - Size: 52.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 1.32 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 3

cloudera/CML_AMP_Canceled_Flight_Prediction

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

Language: Jupyter Notebook - Size: 147 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 16

antonioscardace/Tina

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

Language: Jupyter Notebook - Size: 129 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

098765d/dualPredictor

Package offers simultaneous regression and binary classification especially for educational data

Language: Python - Size: 7.62 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SayamAlt/Parkinson-s-Disease-Detection

Successfully developed a machine learning model which can predict whether a particular individual is susceptible to Parkinson's disease or not, based on a set of features.

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 19 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

SanoScience/Synergistic-Eigenanalysis-Covariance-Hessian

Code related to the paper: Hartoyo, A., Argasiński, J., Trenk, A., Przybylska, K., Błasiak, A., & Crimi, A. (2025). Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets. Computers in Biology and Medicine, 190, 109985.

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

aakcay5656/Real-and-Fake-image-Detection

Language: Python - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SeaWar741/ITC

Computer Science coursework and projects at Tec de Monterrey 👨‍🎓

Language: Jupyter Notebook - Size: 565 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 2

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

Language: Python - Size: 83.4 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 86 - Forks: 28

gerdis/EEG_subject_classification

Identification of individuals from their EEG readings using an attention-supported tribrid ConvNet

Language: Jupyter Notebook - Size: 584 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Adam-maz/Fingerprints-based_tool_for_small_drug_screening

Here I provide small drug screening toolkit based on RandomForrestClassifier

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

UDVIPMAURYA/dog_cat_classification.ipynb

Cat and Dog Classification This repository contains a machine learning project focused on classifying images of cats and dogs. Leveraging advanced deep learning techniques, the model aims to accurately distinguish between the two classes

Language: Jupyter Notebook - Size: 825 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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. 🚀

Language: Python - Size: 62.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

orchardbirds/bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

Language: Python - Size: 574 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 36 - Forks: 7

Jaya30102003/Face-Mask-Detection

This project is a Face Mask Detection System using Convolutional Neural Networks (CNNs). The system classifies images into two categories: "with mask" and "without mask" using deep learning techniques.

Language: Jupyter Notebook - Size: 762 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chen0040/keras-malicious-url-detector

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

Language: Python - Size: 43.1 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 34 - Forks: 25

pedroteixeiraw/Variational_Quantum_Circuit_Binary_Classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aleedca/machine-learning-application

El objetivo principal de este estudio consiste en aplicar algoritmos como Regresión Logística y K-Nearest Neighbors (KNN) en los dos conjuntos de datos de clasificación binaria, al igual que explorar, analizar y evaluar el rendimiento de estos modelos.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SeoBuAs/LG_Aimers_5th_Product_Abnormality_Detection

LG Aimers 5th Hackathon Project Deliverables / LG Aimers 5기 과제 수행물

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

umbertogriffo/focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

Language: Python - Size: 101 KB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 279 - Forks: 67

oceanthunder/Txtrovert

A binary text classifier based on logistic regression made interactive through gradio.

Language: Python - Size: 26.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Zaczero/osm-yolo-crossings

🦓 AI-powered OpenStreetMap tool for importing zebra crossings

Language: Python - Size: 1.21 GB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 2

sondosaabed/Weather-Dataset-Analysis

Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 11 - Forks: 2

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.

Language: Python - Size: 42.3 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

hnthap/cat-dog-classification

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

Language: Jupyter Notebook - Size: 180 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

devanshkv/fetch

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

Language: Python - Size: 242 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 50 - Forks: 34

lucianoscarpaci/ResNet18-Evaluation-PyTorch

This project demonstrates how to fine-tune a pre-trained ResNet18 model using PyTorch for binary classification. This model is adapted to identify images in two classes Positive and Negative.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

lrosenplaenter/DiaMetrics

DiaMetrics is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.

Language: JavaScript - Size: 435 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AllanOtieno254/Loan-Approval-Prediction

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

Language: Jupyter Notebook - Size: 875 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SanikaVT/Employee-Retention

Machine learning Classification problem with easy understandable solutions

Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: 2 days ago - Pushed at: almost 7 years ago - Stars: 8 - Forks: 1

maxtrouble27/Supernova-Neutrinos

UCL PHAS0056 (Machine Learning for Physicists) Final Project. Applying ML techniques to the binary classification and energy reconstruction of simulated neutrino events in LArTPCs

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

ericphann/recipe-relevancy-classifier

Binary classification models to determine recipe relevancy trained using manually labelled Reddit comments from r/Cooking.

Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

fs23yayan/MiniProject2-RandomForest

Mini Project #2: Random Forest from Binary Classification -> Mini Project

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

fs23yayan/MiniProject1-DecisionTree

Mini Project #1: Decision Tree dari Binary Classification -> Mini Project

Language: Python - Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SeoBuAs/LG_Aimers_4th_Sales_Conversion_Customer_Classification

LG Aimers 4th Hackathon Project Deliverables / LG Aimers 4기 과제 수행물

Language: Jupyter Notebook - Size: 144 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

MRLintern/churn_prediction

Application of Logistic Regression to Identify Customer Churn and Why They Churn.

Language: Jupyter Notebook - Size: 284 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

samuelhoover/skin-cancer-classification

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

Language: Python - Size: 286 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nykolai-d/LSTM_Brown_LOB

This project trains a Long Short Term Memory (LSTM) network to detect and classify a text written in English according to a particular variant: whether it is British or American.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TahirZia-1/X-ray-Bone-Fracture-Detection

Detects if the bone is fractured or not. Pre-processing includes Image Data generator, Training Data Augmentation, Testing Normalization and Data loading etc.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

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Koldim2001/Emotion_classifier

Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях

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joaoaleite/ToLD-Br

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

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AngeloTulbure/master-thesis-2024

This is my MS Thesis named "Conspiracy Theories vs Critical Thinking Using an Ensemble of Transformers and Large Language Models"

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Relostar-Devil/Customer-Churn-Prediction-Using-Keras

Using Artificial Neural Networks (ANN) with Keras and TensorFlow, this project predicts customer churn for a telecom company. It analyzes features like tenure, monthly charges, and payment methods, leveraging advanced preprocessing, feature engineering, and dropout layers to build accurate and efficient churn prediction models.

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Related Keywords
binary-classification 849 machine-learning 345 python 150 deep-learning 121 logistic-regression 113 classification 85 tensorflow 83 keras 73 neural-network 67 data-science 63 scikit-learn 55 neural-networks 50 python3 49 jupyter-notebook 47 pandas 43 cnn 40 random-forest 39 data-visualization 37 convolutional-neural-networks 36 image-classification 36 pytorch 36 supervised-learning 36 multiclass-classification 35 numpy 34 xgboost 32 nlp 30 kaggle 29 computer-vision 29 exploratory-data-analysis 27 machine-learning-algorithms 26 sklearn 26 svm-classifier 25 transfer-learning 25 deep-neural-networks 24 keras-tensorflow 24 random-forest-classifier 24 feature-engineering 24 artificial-neural-networks 22 artificial-intelligence 21 svm 20 natural-language-processing 20 cross-validation 19 linear-regression 18 streamlit 18 regression 17 sentiment-analysis 17 kaggle-competition 17 support-vector-machines 17 matplotlib 17 r 16 multi-class-classification 16 image-processing 16 text-classification 15 imbalanced-data 15 hyperparameter-tuning 15 data-preprocessing 15 ai 14 classification-algorithm 14 decision-tree-classifier 13 data-analysis 13 knn-classification 13 feature-selection 13 decision-trees 13 kaggle-dataset 13 data-mining 13 cnn-keras 13 predictive-modeling 13 confusion-matrix 13 tensorflow2 12 xgboost-classifier 12 cnn-classification 12 ml 11 model-evaluation 11 perceptron 11 keras-neural-networks 11 flask 10 bert 10 eda 10 dataset 10 fine-tuning 10 lightgbm 10 lstm 10 pipeline 9 catboost 9 decision-tree 9 ensemble-learning 9 nlp-machine-learning 9 binary-classifier 9 support-vector-machine 9 seaborn 9 gradient-boosting 8 mlp-classifier 8 opencv 8 naive-bayes 8 gradient-descent 8 titanic-survival-prediction 8 prediction 8 regression-models 8 mobilenetv2 8 knn 8