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.
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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.
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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
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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
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dmazilkin/NN-Binary-Classification
Neural network for Binary classification problem.
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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.
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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
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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.
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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.
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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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