GitHub topics: binary-classification
tezzytezzy/bank-account-fraud-analysis
Binary classification model research
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nhansen24/UCI_BreastCancer
UCI Breast Cancer Dataset - ML Pipeline Project
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 3 days ago - Pushed at: 3 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: 3 days ago - Pushed at: 3 days 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.
Language: Jupyter Notebook - Size: 463 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
Akhil-26-dot/Automotive-Vehicle-Engine-Health-Detection-using-Deep-Learning
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.
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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.
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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.
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semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 268 - Forks: 95
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: 10 days ago - Pushed at: 10 days ago - Stars: 76 - Forks: 11
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
Language: Python - Size: 97.6 MB - Last synced at: 3 days ago - Pushed at: 16 days ago - Stars: 1,357 - Forks: 62
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: 9 days ago - Pushed at: 4 months ago - Stars: 11 - Forks: 0
AndyKocak/NeuralNet-C
A highly modular and beginner friendly C framework to build and train MLP Neural Networks
Language: C - Size: 65.4 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - 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: 17 days ago - Pushed at: 17 days ago - Stars: 8 - Forks: 9
fasttrees/fasttrees
A fast and frugal tree classifier for sklearn
Language: Python - Size: 213 KB - Last synced at: 5 days ago - Pushed at: about 2 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: 1 day ago - Pushed at: 17 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: 153 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 10 - Forks: 1
davutbayik/socialmedia-ads-purchase-prediction
🎯 Social media ad purchase predictor using Streamlit and FastAPI — clean UI + real-time ML predictions!
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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: 18 days ago - Pushed at: 18 days 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: 19 days ago - Pushed at: 19 days 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: 3 days ago - Pushed at: about 5 years ago - Stars: 58 - Forks: 9
krishnaura45/InsureLead
Predictive Modeling for Insurance Cross-Selling Response
Size: 66.4 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0
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.
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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: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
pkgforge-dev/elftools
Tools & Libraries for manipulating ELF Files
Language: Rust - Size: 5.86 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0
elaheghiyabi96/breast-cancer-prediction-mlp
Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 21 days ago - Pushed at: 25 days 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: 30 days ago - Pushed at: 30 days 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: 8 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: 29 days ago - Pushed at: 4 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: 29 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
kianaseraj/DeepPPI
Deep learning-based ppi predictor using PyTorch
Language: Python - Size: 52.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: 27 days 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: 7 days ago - Pushed at: 5 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: about 1 month ago - Pushed at: 2 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
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.
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aakcay5656/Real-and-Fake-image-Detection
Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: 16 days 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
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Adam-maz/Fingerprints-based_tool_for_small_drug_screening
Here I provide small drug screening toolkit based on RandomForrestClassifier
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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
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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: about 2 months ago - Pushed at: about 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: 27 days 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Francis-Calingo/Fake-News-Classification-Model-Kaggle
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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: about 1 month ago - Pushed at: about 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.
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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.
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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: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
oceanthunder/Txtrovert
A binary text classifier based on logistic regression made interactive through gradio.
Language: Python - Size: 26.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 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: about 1 month 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 1 month ago - Pushed at: 11 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: 6 days ago - Pushed at: about 2 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: about 1 month ago - Pushed at: about 2 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: about 1 month ago - Pushed at: 12 months 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: about 2 months ago - Pushed at: 4 months 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: 28 days ago - Pushed at: 2 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: 28 days ago - Pushed at: 2 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: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
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: about 1 month ago - Pushed at: 12 months 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 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.
Language: Jupyter Notebook - Size: 594 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
Koldim2001/Emotion_classifier
Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
joaoaleite/ToLD-Br
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 42 - Forks: 7
AngeloTulbure/master-thesis-2024
This is my MS Thesis named "Conspiracy Theories vs Critical Thinking Using an Ensemble of Transformers and Large Language Models"
Language: TeX - Size: 37 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 292 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 621 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MohammedSaqibMS/Logistic-Regression-as-a-Neural-Network
Logistic Regression with Neural Network Principles: This repository implements logistic regression for classifying cat vs. non-cat images, incorporating neural network concepts like sigmoid activation and gradient descent using Python and key libraries.
Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Prishabhanot/Animal-Image-Classification-
A project to classify images of dogs and cats using a Convolutional Neural Network (CNN) built with TensorFlow and Keras. The project involves data preprocessing, model building, training, evaluation, and visualization of classification accuracy
Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
TheQuantScientist/CryptMAGE
[Financial Innovation] The official repo for the paper: "CryptMAGE: Vision Transformer for Intraday Cryptocurrency Time Series Price Movements Recognition".
Language: Jupyter Notebook - Size: 7.89 MB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1
Hkwln/nnupytorch
a bunch of nn/ml model, for getting to know pytorch
Language: Python - Size: 57.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
burcuyesilyurt/Hospital_Readmission_Prediction_ML
Machine Learning
Language: Jupyter Notebook - Size: 3.61 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
MikyLanfra/Prediction_on_Cancer_Cells Fork of fcantatore/BAIology
ML Project on Prediction on Cancerogenous Cells from Gene Expression based on AI-LAB Project, BAI Course, 2023
Language: Jupyter Notebook - Size: 149 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
heisendelta/evacuation-shelter-map
Evacuation shelter recommendation system for Tokyo that predicts the number of shelters per 1km x 1km area and which public facilities should be designated as shelters.
Language: Jupyter Notebook - Size: 84.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
mkschulz9/binary-text-classification
Text classification of Amazon product reviews as positive or negative.
Language: Jupyter Notebook - Size: 81.1 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
TomerYS/Medical-Data-Classifier
ML model for Kaggle competition: TAU Intro2DS - Final Assignment - Spring 2023
Language: Python - Size: 1.18 GB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
berksudan/Credit-Approval-Tool
Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.
Language: C - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
lucazav/binclass-tools
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 76 - Forks: 11
datalopes1/booking_status
Booking Status Prediction with Machine Learning
Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 196 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1
SandaruRF/Heart-Failure-Prediction-ML
Predicts heart failure using logistic regression on clinical data.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
mrkdh16/nba-shot-prediction
Predictive modeling of NBA shot success using features like shot distance and defender proximity. Trained logistic regression and neural networks. Features analysis by training models with individual variables.
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littleluwu/Poisonous_Mushrooms_Prediction
This project aims to predict whether a mushroom is poisonous or edible based on its features. We designed the solutions based on the Binary Prediction of Poisonous Mushrooms competition hosted on Kaggle.
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Chaganti-Reddy/Binary-Classification-Bank-Churn-Dataset
Binary Classification with a Bank Churn Dataset is Kaggle Competetion
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Chaganti-Reddy/Binary-Image-Classification-with-TensorFlow-Quantum-and-Cirq
Binary Image Classification of Fashion MNIST dataset with TensorFlow-Quantum and Cirq
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SathvikNayak123/detection_of_DGA_botnets
App to Detect of DGA-based botnets using Machine Learning and Deep Learning (CNN+Attention)
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