temidataspot/telco-churn

Language: Jupyter Notebook - Size: 8.62 MB - Last synced at: about 3 hours ago - Pushed at: about 4 hours ago - Stars: 0 - Forks: 0

vicky999jeevi/AI-Code-Explainer-Optimizer

🧩 Optimize and explain code effortlessly with our AI-driven multi-agent system, using LangGraph and Gemini for efficient solutions.

Language: Python - Size: 7.02 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

tvarichak/Machine_Learning

🧠 Explore machine learning with Python through hands-on projects, data preprocessing, model development, and interpretability techniques for AI applications.

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

khuynh22/SecureSense-A-Data-Driven-Framework-for-Phishing-Attack-Prevention

SecureSense: A Data-Driven Framework for Phishing Attack Prevention

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: about 15 hours ago - Pushed at: about 17 hours ago - Stars: 2 - Forks: 0

jamiee9604/special

📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.

Language: Python - Size: 8.1 MB - Last synced at: about 15 hours ago - Pushed at: about 17 hours ago - Stars: 1 - Forks: 0

khteh/pAIthon

Python AI, ML, DL and NLP exploration playground.

Language: Python - Size: 1.48 GB - Last synced at: about 18 hours ago - Pushed at: about 20 hours ago - Stars: 1 - Forks: 0

kaabilcoder/Fake-News-Detection

Fake News Detection web app built with Streamlit and Scikit-learn — analyzes news text using NLP and predicts whether it’s real or fake.

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

AmirhosseinHonardoust/Fake-Review-Detector

An AI-powered Fake Review Detector built with Python, Streamlit, and Scikit-learn. Uses TF-IDF vectorization, Logistic Regression, and behavioral text analytics (sentiment, exclamations, clichés) to identify synthetic or spammy product reviews. Includes training scripts and a full interactive dashboard.

Language: Python - Size: 74.2 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

ashioyajotham/Daily-ML

My daily ML practices

Language: Jupyter Notebook - Size: 1000 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 5 - Forks: 2

clonesRpeople2/financial-risk-analyzer

📊 Analyze financial risk for stocks and portfolios with real data from Yahoo Finance to make informed investment decisions.

Language: Python - Size: 60.5 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

oggtgt/AI-Powered-Loan-Eligibility-Risk-Scoring-System

🤖 Build an AI-driven loan eligibility and risk scoring system to facilitate smarter loan decisions with advanced machine learning techniques.

Language: Jupyter Notebook - Size: 5.22 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 1

irwanyong/-1st

🛠️ Set up a modern JavaScript app with Bun, Neon, and a robust tech stack for seamless development and deployment.

Language: TypeScript - Size: 98.6 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

arcena9/R-Machine-Learning-TCR

📈 Analyze thyroid cancer recurrence using logistic regression and advanced machine learning algorithms for accurate risk stratification and insights.

Language: HTML - Size: 1.91 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Hunter90Z/Titanic-Survival-Predictor

🚢 Predict Titanic passenger survival using a deep learning model based on key features from the historical dataset. Explore data science with history.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Loczek223/fraud-detection-modelling-and-reporting

🛡️ Detect and report fraudulent activities using advanced modeling techniques to enhance security and protect valuable assets.

Size: 1.33 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

nelsonrajesh/Predictive-Modeling-for-Agriculture-DataCamp

🌱 Predict crop choices using soil data with a machine learning model, empowering farmers to optimize yields and make informed planting decisions.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

khanoyhv/Fake-News-Detection

📰 Detect and classify news articles as Real or Fake using Machine Learning and Natural Language Processing in an interactive Streamlit web app.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

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: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Grimstrrr/Argonz-ML

A light weight machine learning library published on npmjs

Size: 1000 Bytes - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

martinxnz123/machine-learning-zoomcamp

🤖 Learn machine learning engineering, from basic concepts to deployment, through a hands-on course designed for practical skills and community support.

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

IsaCouture/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Louiscrrn/applied-biostatistics-psoriasis-detection

Logistic regression model for psoriasis detection based on clinical and histopathological features. Includes data preprocessing, multicollinearity analysis, variable selection using VIF and Lasso, and comprehensive model assessment.

Size: 448 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

nvh209/machine-learning-for-spam-sms

📱 Detect spam SMS in real-time using machine learning with multiple models for effective filtering in cellular networks.

Language: Jupyter Notebook - Size: 32.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Morssli/customer-churn-model

📊 Predict customer churn with a logistic regression model using the Telco dataset. Uncover key features and visualize performance for informed decisions.

Language: Python - Size: 1.45 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Marselinofransischo/ai-image-wildfire-detection

🔥 Detect wildfires early with AI-powered image classification, leveraging CNNs to distinguish fire, smoke, and non-fire scenes for prompt response.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

davidlopez1190/Sign-Language-Recognition

Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community.

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

XxsebalinkxX/ChurnIQ

Full-stack, ML-powered churn prediction app using FastAPI, React/TypeScript, and scikit-learn. Predicts churn probability with logistic regression and serves results via a REST API and interactive UI.

Language: TypeScript - Size: 177 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Chau2873/UIU-DataMining-Lab

📊 Explore data mining concepts and hands-on Python examples with exercises for the UIU Data Mining Course. Enhance your skills in ML and data visualization.

Language: Jupyter Notebook - Size: 396 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

rogeriorrcoelho/Churn

Projeto de Regressão Logística desenvolvido em Python com Google Colab Jupyter Notebook

Language: Jupyter Notebook - Size: 9.91 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

ESI-Games/Python--Startup-Success-Prediction-using-Machine-Learning

🚀 Predict startup success using machine learning by analyzing real-world data and key indicators for informed decision-making.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

magnitopic/dslr

Data Science and Logistic Regression

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

zhaa-kun/analytical-models-in-excel

🐙 Analytical Models in Excel: linear regression, forecasting, classification, and visualizations. Data analytics portfolio of predictive models built in Excel.

Size: 578 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Bigchase1a/Anxiety-Analysis-ML-NLP

Machine Learning - NLP - Anxiety Analysis

Language: Python - Size: 9.92 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0

Thisen-Ekanayake/fraud-detection-ml-benchmark

A learning project comparing XGBoost, Random Forest, Logistic Regression, and a simple Neural Network for fraud and anomaly detection tasks on structured tabular data.

Language: Python - Size: 43 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

skibididanieldds1/Complete-Health-Diagnostic-Hub

🩺 Complete Health Diagnostic Hub – A 🌐 web-based platform using 🤖 machine learning to predict potential health risks for ❤️ heart, 🩸 kidney, 🏥 liver, and 🩹 diabetes conditions.

Language: HTML - Size: 5.39 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

ego-creator/hepmassClassification

Pipeline PySpark pour la classification de particules en physique des hautes énergies (dataset HEPMASS). Inclut le prétraitement distribué, l'entraînement de modèles (régression logistique, arbres de décision), l'évaluation et des visualisations clés. Optimisé pour Hadoop/Spark.

Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

PEKIIIPY/credit-card-fraud-detection

🔍 Detect credit card fraud efficiently using advanced machine learning techniques, achieving high accuracy rates on a large dataset of transactions.

Language: Python - Size: 1.31 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Nandha1504/Calories-Burnt-Prediction

🏃♂️ Predict calories burnt with a machine learning model that analyzes personal data and exercise metrics for accurate estimations.

Language: Python - Size: 1.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

vitarep/Status-Higher-or-Lower

A simple Android app built with Jetpack Compose and WorkManager that monitors the status of a server. It periodically sends network requests and notifies the user if the server is unreachable or responds incorrectly. Uses Koin for dependency injection and Ktor for networking.

Language: Kotlin - Size: 235 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

twdouglas2000/Customer-Churn-Prediction

Customer Churn Prediction

Language: HTML - Size: 1.09 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Patacalida/churn-prediction

Analysis and Machine Learning group project, that focuses on customer churn prediction modeling.

Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

sfcheung/betaselectr

Do selective standardization in structural equation models and regression models

Language: R - Size: 6.45 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

mateoservent/coefeasy

Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read and report key coefficients instantly.

Language: R - Size: 203 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 0

antonior92/advtrain-linear

Efficient implementation of Adversarial Training for Linear Models

Language: Python - Size: 1.79 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

pravinkumarelangovan/ml-from-scratch

🔍 Explore machine learning by building algorithms from scratch in Python, comparing results with existing libraries, and enhancing your understanding.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

leansandoval/CienciaDeDatos

Ejercicios de clase y Trabajo Práctico de la materia Ciencia de Datos UNLaM (3670) - 1C / 2C 2025.

Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Davide011/ML_project_South_African_Heart_Disease

Public Repository: Machine Learning & Data Mining project using the South African Heart Disease dataset. Applied PCA, Regularized Linear Regression, ANN, Logistic Regression, and Decision Trees with cross-validation for regression and classification. Includes feature scaling, EDA, and statistical tests.

Size: 1.32 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

BogojuNikhil/Spam-Email-Classifier

A LogisticRegression classifier is trained on this data after splitting it into training and test sets. The model's effectiveness is demonstrated by its high accuracy of approximately 96.6% on the unseen test data, and the notebook concludes with a simple predictive system to classify new, raw text input as either 'Ham mail' or 'Spam mail'.

Language: Jupyter Notebook - Size: 243 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

shahbajtahershezan/Crop-Recommendation-using-ML-Algorithms

A machine learning-based crop recommendation system that predicts the most crop to cultivate based on environmental and soil parameters. This project compares multiple classification algorithms, including SVM, Random Forest, Decision Tree, KNN, Naive Bayes, Logistic Regression, and ANN, to determine the optimal model for accurate crop prediction.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Shubham91999/GenreClassification_with_PCA_LogisticRegression

Machine learning model for predicting music genres using PCA for dimensionality reduction and Logistic Regression for classification

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

RitabrataMandal/CS5691_iitm

This repository contains the assignments and tutorials for the course CS5671: Pattern Recognition and Machine Learning offered in the July–November 2025 semester. Instructor : Dr. Manikandan Narayanan

Language: Jupyter Notebook - Size: 61.6 MB - Last synced at: 6 days ago - Pushed at: 6 days 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: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Farhan-himel-malik/sharpeye

SharpEye: Advanced Linux Intrusion Detection and Threat Hunting System

Language: Python - Size: 420 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

sajinamatya/Credit-card-default-prediction-

A machine learning project that helps predict when credit card customers might miss their payments. I built and tested four different models—Logistic Regression, SVM, Random Forest, and Ensemble Learning—to see which one does the best job at spotting risky accounts before problems happen.

Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ashabakshi/Machine-learning-practice

Machine Learning practice notebooks and projects by Asha Bakshi

Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

AmirhosseinHonardoust/Fake-News-Detector

A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.

Language: Python - Size: 7.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

raimondilab/precogx

A predictor of GPCR couplings with G-proteins/B-arrs using Transformers

Language: JavaScript - Size: 2.5 GB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 9 - Forks: 3

mohsinansari0705/Heart-Disease-predictor

🫀 Machine Learning web application predicting heart disease risk using 13 medical parameters. Built with HTML/CSS/JS frontend and Python ML backend (85.2% accuracy). Features interactive step-by-step form, real-time predictions, comprehensive data insights, and responsive design. Educational tool with UCI Cleveland dataset.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

anoushkaaaa2004/Crime-Rate-Prediction

Crime Rate Prediction using ML Algorithms This project uses Random Forest, KNN, Logistic Regression, SVM, and Decision Tree to predict crime rates and visualize crime hotspots, highlighting the most important features.

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 2

shlokshukla200/ML-Logistic_Regression

This repository contains a Logistic Regression model designed to predict whether it will rain tomorrow (RainTomorrow) based on various weather-related features from the Weather_Australia.csv dataset. The dataset includes parameters like temperature, humidity, wind speed, and rainfall, all of which are used to forecast the likelihood of rain.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

rishiigupta04/heart_health_prediction

🫀 Predicts heart disease risk using machine learning and Streamlit with real-time health input analysis.

Language: Jupyter Notebook - Size: 489 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 2.75 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 25 - Forks: 3

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: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

benedekrozemberczki/awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

Language: Python - Size: 490 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1,738 - Forks: 325

prince-c11/online-payment-fraud-detection

Building an online payment fraud detection system using machine learning algorithms. It utilizes three primary classification algorithms - Logistic Regression, Decision Tree, and Random Forest - to analyze and classify transactions as either legitimate or fraudulent.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

DiogoRibeiro7/ab-glm-abtest

Production-style A/B testing with binomial GLMs (logit/probit): covariate adjustment, marginal ATE/risks, cluster-robust SEs, and Brier-score calibration.

Language: Python - Size: 29.3 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Disha4346/Lung_Cancer

Internship project on Lung Cancer Detection focused on analyzing textual clinical data, with additional insights from medical images.

Language: Jupyter Notebook - Size: 195 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Annika-a/D1_cancer_classification

Data intelligence course project 1. Breast Cancer diagnosis with logistic regression model.

Language: Python - Size: 83 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

indu-explores-data/LendingClub-Loan-Default-Prediction

Predict the likelihood of loan default using LendingClub data by analyzing borrower profiles, loan attributes, and financial indicators. The project demonstrates an end-to-end machine learning workflow from data exploration and feature engineering to model training, evaluation, and actionable insights for credit risk assessment.

Language: Jupyter Notebook - Size: 8.49 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

ak-123459/LookWhere

A smart facial direction recognizer using yaw, pitch, roll.

Language: Python - Size: 6.62 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

CryAndRRich/npmod

Building a simple deep learning framework and some machine learning/deep learning models from scratch (pure Numpy and Pytorch)

Language: Python - Size: 447 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

luis-ma-sousa/OptiDose

Predictive anesthesia dosing for Parkinson's disease mouse models - improving surgical survival from 0% to 60%

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

AmirKh777/Data-Science-Yandex-Practicum

My projects from the Yandex Practicum Data Science course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

shayanraja123/Alzheimers-Risk-Prediction

Interpretable ML pipeline (LogReg, RF, XGBoost) to identify Alzheimer’s risk factors using SHAP, LIME, and fairness analysis across demographics. Includes preprocessing, EDA, model training, and explainability notebooks.

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

BhanuHarshaY/Employee-Attrition-Predection

Built a predictive ML model for employee attrition using Python & scikit-learn on a 10K-row HR dataset. Tackled class imbalance with balanced weights across Logistic Regression, Random Forest, and Gradient Boosting hitting 82% ROC-AUC while spotlighting top risks like low job satisfaction, long commutes, and stalled promotions.

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

Ahmed-M0rsy/ML_Supervised_Car-Insurance-Claim-Outcomes

Portfolio Project: Modeling Car Insurance Claim Outcomes

Language: Jupyter Notebook - Size: 538 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

AmirhosseinHonardoust/Fraud-Detection-SQL-Supervised

Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.

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

konkalaitzidis/heart-disease-prediction

ML pipeline to predict heart disease using clinical features.

Language: Jupyter Notebook - Size: 771 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

venkat-0706/Twalyze

Twitter sentiment analysis project using machine learning to classify tweets and understand audience mood, opinions, and behavior trends in real-time.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 1

willow788/fake-news-detector

A lightweight fake news detection app using TF-IDF and Logistic Regression, built with Streamlit. Baseline model (~67% accuracy); planned upgrade to BERT soon.

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

jaimetarantola/Customer-Churn

End-to-end data science project analyzing customer behavior to identify churn drivers and predict attrition risk. Includes EDA, feature engineering, class imbalance handling (SMOTE), and machine learning modeling (Logistic Regression, Random Forest, XGBoost) to improve customer retention insights.

Language: Python - Size: 175 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

hgabrali/Vehicle-Silhouette-Classification-for-Prospect-Auto

The primary goal of this project is to develop and evaluate a robust multiclass classification model.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

willow788/sentiment-analysis-in-reviews

analyses whether an movie review is positive or negative.

Language: Jupyter Notebook - Size: 718 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

Camiloramos2000/LR-Command-classifier-with-MLFLOW

Command classification system using Logistic Regression and MLflow. Trains, tracks, and registers models with version control, metrics logging, and production deployment. Built with scikit-learn and Python for ML lifecycle management.

Language: Python - Size: 581 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

ziaee-mohammad/Adult-Income-Prediction

Machine learning project predicting whether an adult earns over $50K/year using the UCI Census dataset with Logistic Regression, KNN, and SVM models.

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: 5 days ago - Pushed at: 12 days ago - Stars: 0 - 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: 3.49 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

casper6020/Income-level-prediction-Adult-Dataset

A comparative analysis between Logistic Regression and Boosting Algorithms

Language: Jupyter Notebook - Size: 226 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

iamb0ttle/BNA-Basketball_DNA 📦

BNA(Basketball dNA) is an machine learning project analyzing NBA player statistics and physical data to predict optimal basketball positions (PG-C) as part of a highschool course.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

aitorvv/metrics_for_individual_tree_mortality_models

Code, data and resources for "How performance metric choice influences individual tree mortality model selection"

Language: TeX - Size: 10.3 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

jackieeee3/STAT-300

Statistical Modeling I

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dayekb/Study

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

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adammotzel/pyglms

A Python package for Generalized Linear Models

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rickiepark/the-ml-book

<머신러닝, 핵심만 빠르게!>(인사이트, 2025)의 코드 저장소

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dewshishir/Bangladesh-House-Rent-Prediction-Calculator-BDT-

A Streamlit Rent Calculator was developed using ML (Linear Regression) and a synthetic dataset featuring five Bangladeshi zillas (Dhaka, Rajshahi, etc.) and rent in BDT. The application uses a Scikit-learn Pipeline with One-Hot Encoding. Its modular design allows easy replacement of simulated data with real datasets or swapping the ML model.

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ZlataSparrow/Churn_Risk_Classification

Predicting customer churn using behavioral data, ML models (LogReg, XGBoost), SHAP insights, and counterfactual simulations

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maazkareem-ai/Sentiment-Analysis-for-Mental-Health-Monitoring-using-ML

A Machine Learning–based research project that detects and classifies mental health conditions such as Normal, Depression, Anxiety, Stress, Bipolar, Suicidal and Personality disorder from social media text using sentiment analysis. Developed as a final-year thesis by Maaz Kareem, BSCS Gold Medalist, University of Buner, Pakistan.

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ihuomah/stroke-prediction-ml

Stroke risk prediction with ML (SMOTE + Logistic Regression) — prioritizing recall for stroke cases.

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Infant-Joshva/Project_4-Multiple-Disease-Prediction

🩺 ML-Powered Disease Prediction | Python ⚡ Streamlit 📊 Healthcare AI Solution 🚀

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