GitHub topics: classification-algorithm

Repositories

mbchavez27/csintsy-mco2-pinoybot

Machine learning repo for CSINTSY MCO2 PinoyBot: a language identifier classifier

Language: Jupyter Notebook - Size: 286 KB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 1 - Forks: 0

sozelfist/handson-ml3 Fork of ageron/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language: Jupyter Notebook - Size: 42.8 MB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 1 - Forks: 0

gtank127/ChurnShield-Customer-Retention-Predictor

📊 Predict customer churn with this ML model, enhancing retention strategies through accurate predictions and effective data analysis.

Size: 1.29 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

esbastiango/Customer_Churn_Prediction

📈 Predict customer churn using XGBoost for proactive retention efforts, delivering insights to enhance loyalty and reduce costs.

Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Tamoziit/Data-Mining

Data Mining Assignments & codes

Language: Jupyter Notebook - Size: 451 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

masterArnob/Australian-Rain-Fall-Analysis-and-Prediction-using-Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

toancontrai/fastmap

A fast structure from motion pipeline written in Pytorch.

Language: Python - Size: 3.28 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

OfficialYapper/Project-Credit-Risk-Analysis

German Credit Data - 1994

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

gattsu001/Telecom-Churn-Predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Language: Python - Size: 191 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 1

casper6020/Income-level-prediction-Adult-Dataset

A comparative analysis between Logistic Regression and Boosting Algorithms

Language: Jupyter Notebook - Size: 226 KB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Tomaslopera/Scientific_Computing

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language: Python - Size: 1.79 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 4,793 - Forks: 736

kelvinleandro/manim-animations

Animations exploring various concepts in computer science, with a special focus on machine learning and statistics

Language: Python - Size: 6.38 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 2

murufeng/awesome-papers

机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集

Size: 62.4 MB - Last synced at: about 3 hours ago - Pushed at: over 5 years ago - Stars: 140 - Forks: 35

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 1.48 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 1,031 - Forks: 162

Zulqarnain-10/Behavioral-Risk-Factor-By-Tobacco-Use

This project analyzes tobacco use risk factors using machine learning to predict 'High Confidence Limit' for various demographics. It includes data preprocessing, EDA, and multiple ML models like Linear Regression, Random Forest, and SVM. Detailed results and code are available in the repository.

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

rishal-hurbans/Grokking-Artificial-Intelligence-Algorithms

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Language: Python - Size: 46.9 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 367 - Forks: 121

shubham0204/GaussianNaiveBayes_Android_App 📦

A simple implementation of the Gaussian Naive Bayes algorithm in Android ( with Kotlin ).

Language: Kotlin - Size: 960 KB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

Vortechlabs/klasifikasi-jeruk

This is a ML classification project that predicts the quality of oranges based on various physical, chemical, and environmental characteristics. The system classifies oranges into three quality categories: Good, Medium, and Poor using logistic regression with comprehensive data preprocessing.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: 16 days ago - Pushed at: about 7 years ago - Stars: 787 - Forks: 215

Varun-khorgade/ChurnShield-Customer-Retention-Predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

Size: 1000 Bytes - Last synced at: 19 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

shortthirdman/PredictorXVault-Cookbook

Master Machine Learning: A Collection of Classification & Regression Algorithms in Action

Language: Jupyter Notebook - Size: 29 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

abess-team/abess

Fast Best-Subset Selection Library

Language: C++ - Size: 210 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 487 - Forks: 42

adiag321/CRM-Analysis-for-Marketing-data

In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 5

NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 336 - Forks: 163

ivandronovais/autou-case-pratico

Case prático para vaga de estágio em desenvolvimento na AutoU. A proposta era desenvolver uma aplicação web que utilizasse IA para classificar emails e sugerir uma resposta automática

Language: Python - Size: 573 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Mariam-Badr-MB/gtc-ml-project2-diabetes-prediction

This project is part of the GTC Machine Learning Program. It demonstrates the end-to-end ML workflow by building a predictive model for diabetes detection

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

sujata1712/EnsembleACPredict---Machine-Learning-Project

EnsembleACPredict: An Ensemble Machine Learning Framework for Anticancer Peptide (ACP) Classification with LGBM‑Based Feature Importance

Language: Jupyter Notebook - Size: 751 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ibrar-syed/mammography-classification_by_Deep_Learning

A modular, scalable, deep learning-based pipeline for classifying mammographic images using various pre-trained CNN architectures.

Language: Python - Size: 111 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cardmagic/classifier

A general classifier module to allow Bayesian and LSI classifications.

Language: Ruby - Size: 106 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 666 - Forks: 123

NathanFirmo/classifier.js

:robot: Natural language processing with JavaScript

Language: TypeScript - Size: 1.34 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 120 - Forks: 1

carlomarxdk/sawmil

Multiple-Instance SVM models in Python (based on Gurobi and OSQP solvers)

Language: Python - Size: 164 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gaurav1nemani/Insurance-Fraud-Detection

Robust insurance fraud detection project using Python and Power BI. Covers data preprocessing and EDA, three machine learning algorithms (Logistic Regression, Random Forest, and tuned XGBoost with SMOTE and Optuna), SHAP for model interpretability, and a business dashboard with KPIs, fraud trends, category insights, and per-claim fraud explanations

Language: Jupyter Notebook - Size: 7.47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

bergerache/Telecom_churn_predictor

Churn prediction for Telecom company

Language: Jupyter Notebook - Size: 496 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

lancwyy/Bank-Marketing-Modeling-Deployment

modeling and deployment for Kaggle Bank Marketing - Deposit Prediction

Language: Python - Size: 169 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

FelixTheStudent/cellpypes

Cell type pipes for R

Language: R - Size: 3.03 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 3

mohd-faizy/DataScience-Projects

Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning

Size: 9.05 MB - Last synced at: about 6 hours ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

javiermerinom/granify-classification-analysis

Machine learning classification project analyzing user behavior for purchase prediction.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Danyal-Shah-tech/Internship-Task

This repository showcases two end-to-end data science projects completed during my internship: Titanic Survival Classification , Stock Price Prediction - LSTM Designed to demonstrate professional data science workflow from EDA to model deployment-ready solutions.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

barahona-research-group/hcga

Highly Comparative Graph Analysis - Code for network phenotyping

Language: Python - Size: 265 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 15

rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning

Trained a Logistic regression model on iris dataset (hypertuning wth GridSearch_CV )

Language: Python - Size: 8.79 KB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

beatriz-ls/regressao_cancer_tireoide

Análise de um estudo de coorte sobre pessoas com câncer de tireóide. Realização de análise descritiva, aplicação de testes estatísticos e desenvolvimento de um modelo de regressão logístico com desfecho remissão do câncer.

Language: JavaScript - Size: 3.66 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

wilsonck75/D-Cubed-Data-Lab

D³ Data Lab: Data. Decisions. Delivery. This repository holds the data files and notebooks for projects shown in my portfolio.

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ManiatGIT/loan-approval-prediction

🏦 Predict loan approval outcomes using a robust machine learning model, ensuring informed decisions with data-driven insights and an interactive web interface.

Language: Jupyter Notebook - Size: 202 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

TNO-Quantum/ml.classifiers.vc

Scikit-learn compliant Variational Quantum Classifier

Language: Python - Size: 3.02 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 1

AldiPradana-KD/Automatic-Ticket-Classification

This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

RyanBrittes/AI_Multiclass

Algorithm created to explore a multiclass model with logistic regression

Language: Python - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Habib832/Kaggle-Fraud.ipynb

Kaggle-Fraud.ipynb :octocat: compares six machine learning models on the PaySim mobile money dataset to detect fraud amid severe class imbalance.

Language: Jupyter Notebook - Size: 539 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

charles-vzf/modularyNN

Neural Network framework implemented from scratch for educational purposes during first month of RIKEN AIP traineeship

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

bergerache/Appointment_NoShow

medical appointments No-Show classifier

Language: Jupyter Notebook - Size: 2.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

rwejoye/seattle-weather-timeseries

Time series and machine learning modeling to analyze and predict Seattle’s weather patterns using climate variables like precipitation, temperature, and wind.

Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

francescopiocirillo/bayesian-map-vs-logistic-regression

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

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

martini-alessandro/GW_classifiers

Configurable implementation of machine learning classifiers for distinguishing between Gravitational wave signals and noise transients in GW detectors

Language: Python - Size: 55.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

neetmadann/Kaggle-Fraud.ipynb

Fraud Detection in Mobile Money Transactions using Machine Learning . A binary classification project comparing six models (Logistic Regression, Naive Bayes, Decision Tree, Random Forest, KNN, SVM) on the PaySim dataset. Includes data preprocessing, class balancing, feature importance analysis, and model evaluation (accuracy, precision, recall, F1-

Language: Jupyter Notebook - Size: 550 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bernardoadribeiro/classification-model-as-webapp

This project implements a interface (form) using Flask to predict the classification based on inputed data, using a trained model.

Language: HTML - Size: 25.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ua-datalab/MLWorkshops

UArizona DataLab Workshops

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

JeongsooWon/MeTel

MeTel (Metastasis Teller): Genomic classification of intrapulmonary metastasis and multiple primary lung cancer

Language: Python - Size: 9.94 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

azizp128/income-prediction-flask

An experiment with machine learning model deployment using the Flask framework on Heroku & Streamlit. This project features a simple machine learning model that utilizes the Gradient Boosting Classifier algorithm to predict an employee's income.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aashnajoshi/Florance

A Python-based deep learning model that classifies flower images, specifically recognizing Rose, Sunflower, and Tulip. It allows users to upload images for real-time classification and offers batch processing for enhanced performance.

Language: Python - Size: 1.91 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CelineBoutinon/big-data-cloud

CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 9

Language: Python - Size: 2.4 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ohadlivay/ML-and-DS-Notebooks

My playground for learning ML and DS concepts

Language: Jupyter Notebook - Size: 233 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kush1912/FAKE-NEWS-DETECTION

Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.

Language: Jupyter Notebook - Size: 4 MB - Last synced at: about 20 hours ago - Pushed at: almost 7 years ago - Stars: 9 - Forks: 7

Shanthi-1821/Software_Development_ML_project

Software Development : AI-ML Supervised Classifier project on Security Authentication Algorithm

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mvarrone/machine-learning-specialization

Notes on Coursera's ML Specialization by Stanford University and DeepLearning.AI and taught by Dr. Andrew Ng

Language: Jupyter Notebook - Size: 251 MB - Last synced at: 8 days ago - Pushed at: 12 months ago - Stars: 7 - Forks: 0

Daniyar1239/Bionic-prosthesis-on-AI

Real-time EMG signal classification for the bionic prosthesis design

Language: MATLAB - Size: 56.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

levyben/DeepSuperLearner

DeepSuperLearner - Python implementation of the deep ensemble algorithm

Language: Python - Size: 185 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 135 - Forks: 22

Maitreya71/Machine-learning-model-in-Rstudio

Designed a machine learning model of classification type to classify authenticity of cuisines on YELP data using Rstudio

Language: R - Size: 543 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Nano-a/medicinal-plant-classifier

Classificateur de plantes médicinales basé sur RandomForest. Prédiction binaire avec explications et métriques complètes (accuracy, F1, ROC). Interface web interactive.

Language: HTML - Size: 5.64 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

NeverSinkDev/NeverSink-Filter

This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.

Size: 30.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2,517 - Forks: 490

amansiwach868/titanic-survival-prediction

This repository contains a project focused on predicting Titanic passenger survival using machine learning techniques. It includes data analysis, feature engineering, and model evaluation to provide insights into survival rates. 🛠️📊

Language: Python - Size: 259 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Saravanan9698/Saravanan.Github.io

Welcome to my Data Science Portfolio! I'm Saravanan — an IITM Pravartak Certified Data Science Professional with practical experience building end-to-end ML and Deep Learning solutions across healthcare, finance, e-commerce along with NLP and GEN AI Domains. This portfolio highlights my work on real-world data-driven projects.

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mukulsinghal001/lead-scoring-model-python

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

Language: Jupyter Notebook - Size: 7.07 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 59 - Forks: 25

hrolfrc/calfcv

A classifier that implements a course approximate linear function with cross validation

Language: Python - Size: 1.15 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Dicoding-Addin/BMLP-ADDIN

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tatianacarcamoreula/Modelo_ML_abandono_de_clientes

Predecir el abandono de futuros clientes

Language: Jupyter Notebook - Size: 659 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

dhrupad17/Machine-Learning-A-Z

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

Language: Jupyter Notebook - Size: 53.4 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

smg478/OralCancerDetectionOnCTImages

C++ implementation of oral cancer detection on CT images

Language: C++ - Size: 28.1 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 7

joaopcalumby/linearsvc_spam-classification

E-mail classification using LinearSVC algorithm

Language: Python - Size: 1.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

krishnadey30/Artificial_Intelligence_Codes

C codes for the Arificial Intelligence Course and algorithms.

Language: C - Size: 872 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 2

HolyGrease/Algorithm-ID3

Decision tree learning is a method for approximating discete-valued target functions, in which the learned function is represented by a decision tree.

Language: Python - Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

jlgarridol/sslearn

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

Language: Python - Size: 1.89 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 3

Marta-Barea/mlp-iris-classifier

A simple project to train and evaluate a multilayer perceptron on the Iris Sepecies data using TensorFlow, SciKeras, and Scikit-Learn.

Language: Python - Size: 194 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

hrshankar2002/Siamese-Convolutional-Neural-Network

The official implementation of the paper "Efficient Siamese Network-Based Approach for Multi-Class ECG Classification in Arrhythmia Detection"

Language: Jupyter Notebook - Size: 9.19 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Marta-Barea/mlp-sonar-classifier

A simple project to train and evaluate two multilayer perceptron models on the Sonar data using TensorFlow, SciKeras, and Scikit-Learn — one without data standardization and another with standardized input data.

Language: Python - Size: 313 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Marta-Barea/mlp-diabetes-classifier

A simple project to train and evaluate a multilayer perceptron on the Pima Indians Diabetes Dataset using TensorFlow, SciKeras, and Scikit-Learn.

Language: Python - Size: 133 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing

Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.

Language: Python - Size: 18.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

aryashah2k/Prediction-Of-PCOS-Using-Optimized-ML-Classifiers

Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 3

vikram-raju/Customer-Visits

An exploratory study of understanding visit patterns of customers at a shopping mall and predicting their visit in the upcoming week.

Language: HTML - Size: 40.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

shainamackin/nyc-hh_algorithmic-bias-mitigation

The code presented here is meant to accompany our Playbook, which illustrates our threshold adjustment methodology that can mitigate bias in EHR-based classification models. Our paper and the Playbook can be found in npj Digital Medicine at the link below:

Size: 6.73 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1