Supervised surface-condition classification from torque–angle time series recorded by an automated screwdriving station.
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Updated
Apr 17, 2026 - Python
Supervised surface-condition classification from torque–angle time series recorded by an automated screwdriving station.
Top 9% solution for the Kaggle March Machine Learning Mania 2026. Optimized ElasticNet, and HistGradientBoosting models blended with betting market insights.
A machine learning web app that predicts a student’s expected score and grade using self-study hours, attendance, and class participation, also showing performance insights such as risk level, focus area, and improvement recommendations. It is built with React, FastAPI, and scikit-learn. Deployment: Vercel for frontend, Render for backend.
Machine Learning project for predicting silica concentration in a mining flotation process using HistGradientBoostingRegressor.
Comparative machine learning study for non-contact body temperature prediction using Infrared Thermography, featuring HGB, Random Forest, CatBoost, Lasso, LSTM, TOPSIS ranking, Radar Plot visualization, and LIME explainability.
Credit risk modeling with HistGradientBoosting, featuring evaluation, SHAP explainability, threshold optimization, and high-risk client analysis.
Intelligent Django weather forecasting application powered by Machine Learning, using OpenWeatherMap & Open-Meteo APIs to predict short-term rainfall from 365 days of historical weather data.
Network intrusion detection using NSL-KDD with binary attack detection, multiclass attack classification, and a live web traffic anomaly dashboard.
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