s0nya23/Loan-Approval-Prediction

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

Language: Jupyter Notebook - Size: 418 KB - Last synced at: about 24 hours ago - Pushed at: 1 day ago - Stars: 2 - Forks: 1

rdxdfulll/ClassifiersCommittee

🌧️ Predict rainfall in Australia using various classification algorithms and enhance your data science skills with the ClassifiersCommittee project.

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slxppin/Sketchify-A-Quick-Draw-drawing-classifier

Sketchify-A-Quick-Draw is a drawing classifier that uses machine learning to recognize hand-drawn sketches. It helps users identify and categorize their artwork quickly, making it a useful tool for artists and hobbyists alike.

Size: 290 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

AyushShahh/heart-disease-prediction

Heart disease prediction on UCI Cleveland database using ensemble learning

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saccofrancesco/deepshot

Deepshot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (70%)

Language: Jupyter Notebook - Size: 139 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 98 - Forks: 13

AyushShahh/exoplanet-detection

XGB model trainer to classify an observation as an exoplanet, candidate or false positive

Language: Python - Size: 3.05 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

deecodegit/CTR-prediction-model

This project develops a predictive model to estimate the likelihood that a user will click on an advertisement based on their demographic and behavioral data.

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Soumilgit/XYZ-Bank-Customer-Churn-Predictor

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 32 - Forks: 1

Prokash21/BioSalT

Salinity responsive genes in tomato

Language: Jupyter Notebook - Size: 270 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

jprmaulion/cholera-gedeo-ethiopia-ml-modeling

Predictive modeling of cholera severity in the Gedeo Zone, Ethiopia, using epidemiological and clinical data. This notebook applies machine learning techniques, including feature engineering, Bayesian hyperparameter optimization, and classification with XGBoost and Random Forest.

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AjaySurya-018/Multimodal-HateSpeech-Detection

A comprehensive framework for detecting hate speech in the low-resource Telugu language using multimodal (audio and text) analysis

Language: Jupyter Notebook - Size: 5.24 MB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Ali77ka/Telco-Churn-Analysis

Predicting and Preventing Customer Loss with Data using Python, XGBoost, and CatBoost

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slrvv/CENTRE

Language: R - Size: 437 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 3 - Forks: 3

iiasa/ggcm-feature-importance

Feature attribution pipeline for Global Gridded Crop Model (GGCM) simulations

Language: Python - Size: 61.5 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

Awais-Asghar/SkinSense-Multi-Model-Skin-Cancer-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: 8.56 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

Cnair02/DiabetesDetection-ML

Predictiver modelling with Diabetes PIMA Dataset which consists of model comparison using decision tree, random forest, logistic classifier and xgboost algorithms

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michplunkett/ucpd-incident-scraper

This repository scrapes the UCPD Daily Incident page at a pre-determined frequency and store the incidents on a generic JSON data-store.

Language: Python - Size: 64 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 3 - Forks: 2

SermetPekin/spml2

spml2-mltools is a convenient package for applying machine learning workflows with a Streamlit app, generating Excel outputs, and visualizations.

Language: Python - Size: 384 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

XingYihang1/Customer_churn_prediction_using_a_novel_meta-classifier

论文复现项目：基于Oracle元分类器的客户流失预测，复现相关论文研究成果，通过集成决策树、随机森林、XGBoost等多种机器学习算法，采用SelectKBest+GridSearchCV和Permutation Features Selection+BayesSearchCV两种特征选择和超参数优化策略增加基分类器池，实现堆叠集成和动态选择集成并提高Oracle元分类器的理论上限。

Language: Python - Size: 5.44 MB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

Subrat1920/Hotel-Reservation-Cancellation-Detection-MLOps

Predict which customers are likely to cancel their reservation or checkout before check-in using historical hotel booking data. This enables hotels to take proactive actions to reduce revenue loss.

Language: Python - Size: 1.7 MB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

WalidAlsafadi/Haqiqa-Arabic-Fake-News-Detector

Production-ready Arabic fake news detection system using state-of-the-art AraBERT and XGBoost models. Achieves over 96% F1-score on 13,750 verified news samples. Includes pre-trained models, full training pipeline, and comprehensive evaluation.

Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

Hajoura91coding/e_commerce_product_classification_with_Python

e_commerce product classification

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

TejusK123/AutoDeep

Simple downstream stratification of miRDeep2 outputs via XGBoost

Language: Python - Size: 6.04 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

mahnoorsheikh16/Explainable-Fake-News-Detection-and-Personalized-Credible-Recommendation-via-GraphML

System for detecting fake news and suggesting credible alternatives. Takes a news URL and outputs a credibility score, explanation, and top reliable sources. Uses TF-IDF + Logistic Regression, XGBoost, and DistilBERT with hybrid BERT–LightGCN models, plus SHAP and GNNExplainer for interpretability.

Size: 75.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

roissyahf/mlops-loan-approval

MLOps Loan Approval Prediction System

Language: Python - Size: 1.19 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

herrerovir/Steel-fault-classifier

A machine learning classification project aimed to predict faults on industrial steel plates.

Language: Jupyter Notebook - Size: 6.66 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

gamal1osama/Heart-Failure-Prediction-using-Machine-Learning Fork of MarwanIbrahimAmin/Heart-Failure-Prediction-using-Machine-Learning

Predicting heart failure death using clinical data. Includes preprocessing, EDA, multiple ML models (Logistic Regression, Random Forest, XGBoost, LightGBM , ...), performance evaluation (F1, ROC-AUC), and feature importance analysis using SHAP.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

BhaveshBhakta/Fetal-Health-Classification-Using-XGBClassifier

Fetal Health Classification

Language: Jupyter Notebook - Size: 923 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

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MachineNeyarning/ClassifiersCommittee

Comitê de Classificadores | Projeto N1

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HuntStunt/intelligent-resume-screening

Jupyter notebook for resume–job fit: SBERT embeddings + XGBoost classifier with section-aware feedback. Runs in Anaconda/Jupyter.

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SebastianGranadosJ/Orthopedic-Anomaly-Detection-MlModel

Binary classification of orthopedic anomalies using XGBoost and hyperparameter tuning with Optuna.

Language: Jupyter Notebook - Size: 628 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Crazz-Zaac/informative-missingness

This project involves training classifiers (Random Forest, Gradient Boosting, CatBoost, XGBoost and Logistic Regression) on MIMIC-IV dataset to detect the presence of missingness of data within a certain interval. The full pipeline can be found in the README.

Language: Jupyter Notebook - Size: 32 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

BNTechie/Predictive-modeling

Credit card fraud detection, Breast cancer prediction, Wine quality prediction, Bank note authentication, prediction of attrition of employees, Stock prediction, etc

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SatChittAnand/Twitter-Sentiment-Analysis

This project performs sentiment analysis on Twitter data to classify tweets as positive or negative.

Language: Jupyter Notebook - Size: 729 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

PaPJoIN/supervised-learning-class-dropout

Evaluating student demographics, engagement and performance metrics for predicting dropout likelihood using supervised learning - Neural Networks & Decision Trees.

Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Amanyadav-07/Customer-Churn-Prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

thrifty-penguin/clutch-controller

A framework that captures clutch engagement curves from the G90AMT and integrates it into an intelligent controller to modulate clutch engagement in vehicles with the G131 manual transmission.

Language: Python - Size: 113 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

theotherankit/chronicCareDashboard

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

javiermerinom/gene_expression_breast_cancer-classification-analysis

This project explores breast cancer classification and survival analysis using RNA-seq data from The Cancer Genome Atlas (TCGA-BRCA). The workflow includes differential expression analysis (DEA), dimensionality reduction, and machine learning models for tumor vs. normal classification, cancer stage prediction, and patient survival analysis.

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AmimoOtieno/Loan-approval-automation

Machine Learning-Based Loan Approval Automation: Enhancing Efficiency, Accuracy, and Fairness in Credit Decision-Making

Language: Python - Size: 9.82 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Prinaka/Algo-Trading-Automation

This project is an end-to-end algorithmic trading signal generator that uses technical indicators and a machine learning classifier (XGBoost) to identify buy and sell opportunities for selected stocks.

Language: Python - Size: 171 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

AafaqueAnjum06/hep-event-classifier

HEP Event Classifier is a Python ML pipeline for classifying High Energy Physics events. It supports preprocessing, model training with hyperparameter tuning (Logistic Regression, Decision Trees, Random Forests, XGBoost), evaluation with metrics and confusion matrices, and saving the best models. Modular and easy to extend

Language: Python - Size: 211 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jprmaulion/tb-hama-predict-xgboost

Predicting early treatment departure risk in tuberculosis patients using a Bayesian-optimized XGBoost model on clinical data from the Philippines.

Language: Jupyter Notebook - Size: 208 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AsuquoAA/Predictive_Maintenance

Predicts equipments from a hydraulic test rig using machine learning

Language: Jupyter Notebook - Size: 157 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Vaishnavi-vi/Classify_spotify_audio_genre_-

A machine learning project for automatic music genre classification using extracted audio features. The project compares multiple models — Logistic Regression, Decision Tree, Random Forest,XGBoost and ANN — and includes an interactive Streamlit app for real-time genre prediction.

Language: Jupyter Notebook - Size: 6.35 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ConradKleykamp/Bank-Subscription-Prediction-with-XGBoost

Leveraging XGBoost to predict whether a customer will subscribe to a bank's term deposit

Language: Jupyter Notebook - Size: 684 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KonuTech/classify-stock-growth-for-trading

Daily ETL and ML with Docker, PostgreSQL, Airflow, and XGBoost on pre-selected stocks. Finally, react as web-app

Language: Python - Size: 8.83 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

srivastavaastha/Customer-Churn-Prediction

This project predicts if a customer will keep their relationship with companey or not based on few indicators.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ssuljo/dld_transactions_analytics

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alagoz/higec

HiGeC: Hierarchy Generation and Classification Framework

Language: Python - Size: 2.22 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

krvipin15/fraud-detection

This project develops a robust machine learning system to detect credit card fraud, specifically addressing extreme class imbalance to achieve high recall and precision. It leverages MLflow for a reproducible and scalable end-to-end solution.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

itshivams/PDF-Outline-Extractor

PDF Outline Extractor is an end-to-end machine learning pipeline that automatically generates structured outlines (Title, H1–H4 hierarchy) from unstructured PDFs — even those without embedded metadata or tags.

Language: Python - Size: 275 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

AbhinavSharma07/Fraud_Analytics-Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Naddour98/Meine-Vierte-Projekt-mit-Python-Waze-Deutsch

Vorhersage von Nutzerbindung für die Navigations-App Waze anhand historischer Aktivitätsdaten. Umfasst EDA, Feature-Engineering und den Vergleich verschiedener Machine-Learning-Modelle inklusive Hyperparameter-Tuning. Auf Deutsch.

Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ScrPzz/rongowai-earth-surface-classifier

Land/Water binary classifier based on Delay Doppler Map data from Rongowai

Language: Jupyter Notebook - Size: 70 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

IzaacCoding36/Projeto-ONIA

Esse repositório será utilizado para a publicação e desenvolvimento do meu projeto para a Olimpíada Nacional de Inteligência Artificial (ONIA) de 2025.

Language: Python - Size: 1.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

MohamedMostafa010/ExeRay

ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.

Language: Python - Size: 2.83 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 48 - Forks: 7

Ankur-krGarg/Predict-Stroke

Predicting stroke risk using real health data and ML classifiers like Random Forest and XGBoost.

Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gabiircode/TechChallenge2

Projeto de Data Analytics para prever a tendência diária do índice IBOVESPA (alta/baixa) utilizando dados históricos.

Language: Jupyter Notebook - Size: 196 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

intelligent-life-paradox/ETF-Forecasting-and-Clustering

Trabalho final da disciplina de Aprendizagem de Máquina

Language: Jupyter Notebook - Size: 51.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

Jayadev445/crime-rate-pred-xgboost

Crime Rate Prediction Using XGBoost, comparing XGBoost based on accuracy with different models like KNN, decision trees and SVM models.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

CelineBoutinon/credit-scoring

CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 7 (EDA & modélisation seules)

Language: Python - Size: 44.8 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mehrdadhz-77/us-visa-prediction

A Machine Learning pipeline that analyzes U.S. working visa application data to predict case certification outcomes, helping employers and applicants understand key factors influencing approvals

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Prabhakar200216/ml-project-2-customer-churn

A machine learning project that predicts customer churn using decision trees, random forest, and XGBoost.

Size: 148 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NIKO-2182/SafeLink

An XGBoost-based phishing detection model that identifies malicious URLs with high accuracy using engineered features.

Language: Python - Size: 199 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Prabhakar200216/Prabhakar-Mishra

A machine learning project that predicts autism using decision trees, random forest, and XGBoost.

Size: 333 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tatv047/Credit-Card-Fraud-Detection

A comprehensive machine learning(binary classification) project for detecting credit fraud on a highly imbalanced dataset.

Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jigyasaG18/Employee-Salary-Prediction-Jigyasa

PayNexus is a machine learning-powered web app that predicts employee salaries based on role, education, and experience. Built using Python, Streamlit, and scikit-learn, it supports both single and batch predictions. The app includes advanced features like resume parsing via NLP and interactive visual analytics. Ideal for job seekers, HR profession

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dpb24/customer-churn

🌐 Predicting Customer Churn with Decision Tree, XGBoost & Neural Network Models on the Cell2Cell Dataset

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ESMAaN/Amazon_Product_Reviews

Amazon Product Reviews: Sentiment Analysis with NLP

Language: Jupyter Notebook - Size: 956 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

sai-123-code/Loan-eligibility-xgboost-sagemaker

End-to-end loan eligibility prediction using XGBoost on Amazon SageMaker with data stored in S3 and tested via local notebook.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Dalageo/ML-TitanicShipwreck

Exploring the World's Most Renowned Shipwreck 🚢

Language: Jupyter Notebook - Size: 990 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 2

Romtaug/Crowdfunding-Immobilier

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

KhooodeSIN/heart_attack

Language: Jupyter Notebook - Size: 640 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hantablack9/market-lead-scoring-propensity-modeling2

This ML project (being setup) is for building, testing and deploying models for qualifying sales leads. Current best model is XGBoost classifier which accurately predicts 82% of converting leads. Currently refactoring code for for modularity, applying SOLID principles for scalability, testing, and deployment.

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ANI717/XGBoost-MLOps-Pipeline

An end-to-end machine learning pipeline using XGBoost trained on the sklearn Breast Cancer dataset. This project demonstrates a full production workflow.

Language: Jupyter Notebook - Size: 123 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RaminBohlouli/ModeChoice-ML-With-IMCP

This repository provides a model‑agnostic, uncertainty‑aware framework for transportation mode‑choice prediction via Inductive Mondrian Conformal Prediction (IMCP). While XGBoost is used as the base classifier in our experiments, the conformal wrapper is compatible with any predictive model.

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SYD-Taha/Smart-Loan-Approval-System

Smart Loan Approval System An end-to-end AI project that predicts loan approvals using XGBoost. Includes a FastAPI backend, Streamlit frontend, and SHAP-based explainability. Designed to demonstrate production-level ML deployment and transparency.

Language: Jupyter Notebook - Size: 508 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sanadollu/AerialVehicleDetectionProject

This project addresses an image classification task using both traditional machine learning algorithms (HOG + ML) and a deep learning approach (CNN). The goal is to compare these methods in terms of accuracy, generalization, and practical performance.

Language: Jupyter Notebook - Size: 50.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Fairooz14/F1_Japanese_gp_Prediction_2025

The Model predicted Max Verstappen is the Winner of Japanese Grand Prix 2025 and He is the winner 🫡🏎️🪄

Language: Jupyter Notebook - Size: 7.37 MB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

AndersonIvanildo/docs-algorithms-apply-diabetes-dataset

Size: 615 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

muhammadmutahir/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu

This repository contains a credit risk analytics project that uses logistic regression, decision trees, and various data analysis techniques. Explore the code and resources in Jupyter Notebook format to understand the model's performance and insights. 🐱💻📊

Language: Jupyter Notebook - Size: 522 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kushiviren25/MLCreditCard

ML Credit Card Fraud Detection aims on marking down fraudulent transactions using prominent ML models and handles class imbalance issues and provides visualization of the fraudulent transactions vs non fraud transactions and uses FastAPI to integrate with external systems .

Language: Python - Size: 8.79 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

syariffaa/xgboost-for-mental-health

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Shakthirekak11/Political-Speech-Manipulation-Detection

🗳️ Political Speech Manipulation Detection uncovers misinformation, bias, and hostile rhetoric in political content using advanced language models and analytical pipelines. It processes speeches, tweets, and news articles to classify truthfulness, detect sentiment, and extract rhetorical and thematic patterns.

Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Showmick119/Benchmarking-Signal-Processing-Packages

An evaluation of the performance and recency of various Python signal processing packages when applied to ECG and PPG data.

Language: Jupyter Notebook - Size: 120 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Bhawesh-Agrawal/Numeric-Nomads

Anveshan Hackathon Project Submission Repo of Numeric Nomads

Language: JavaScript - Size: 20.1 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

chawthinn/campus-placement-prediction

This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model training using classification algorithms such as Logistic Regression, Decision Tree, and K-Nearest Neighbors.

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siddheshwarkoli/Customer-Transaction-Prediction-Classification

BASED ON GIVEN FEATURE OF DATASET WE NEED TO PREDICT WHICH CUSTOMER MAKE TRANSACTION IN THE FEATURE IRRESPTIVE OF THE AMOUNT OF MONEY TRANSACTED

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SaketJha-323/Liver_Cirrhosis_Stage_Detection_System

Liver Cirrhosis Stage Detection System Using Random Forest and XGBoost with Stacking Classifier

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MaisSerhan/Haven_FBAI

🌟 Haven seeks to be the premier online resource for supporting and empowering parents in Palestine to nurture their children's healthy and happy development from pregnancy through early childhood. 👶❤️🏡

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Demetreous/Spotify-Track-Recommender-System-and-Popularity-Regression

ML project leveraging Spotify audio data for track popularity prediction and music recommendation using XGBoost, KNN, and SHAP

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HangOn6/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu

Improving credit risk model using Machine learning techniques. We use a host of ml models and neural network to solve the issue.

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iswaryalaxmis/Ensemble

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d-senyaka/Bird-Range-Prediction

This is a lightweight web application that allows users to predict bird presence, location, and the best time to observe birds based on machine learning models trained on real birdwatching data from the Hambantota District.

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Algi21/Supervised-Learning-Classification

Project Supervised Learning - Classification untuk memprediksi customer churn atau tidak berdasarkan dataset suatu perusahaan telekomunikasi.

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Shannu3766/ML-Powered-Network-analyzer

A real-time network traffic analysis system that leverages machine learning to predict and classify network flows. The system captures network packets, extracts flow features, and uses Random Forest model to identify potential network threats and anomalies.

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Rahul-2006/Heart-Attack-Risk-Prediction

This is a research project based on Heart Attack Risk Prediction Using Machine Learning and SHAP Explainability

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hybtli/malware-detection-genetic-optimization

Genetic Algorithm Optimization for Malware Detection and Classification

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