model-performance-comparison

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

🔍 Built a 1-Nearest-Neighbor classifier with feature selection techniques (forward selection, backward elimination) implemented from scratch to explore model accuracy and interpretability. Feature selection helps identify the most relevant input variables to improve model accuracy, reduce overfitting, and simplify interpretation.

Neural networks fine-tuned on the Cybersecurity and Infrastructure Security Agency's "Known Exploited Vulnerabilities" catalog

Unemployment Rate Forecasting using Time Series techniques, leveraging Statsmodels, LSTMs, and Facebook's Prophet library to predict future unemployment trends. The project includes model comparison, hyperparameter tuning, and visualization of forecasted results.

ML-driven analysis of medical insurance claims to predict costs, optimize operations, and enhance decisions

This repository contains files for a regression analysis of housing prices in Ames, Iowa.

Modeling Knowledge Progression in MOOCs. An extended BKT model that integrates lecture engagement and time-gap data to improve knowledge state estimation in online learning environments.

Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Model Performance Comparison

Supervisor: Prof. Dr. Hab. inż.. Marcin Woźniak, Silesian University of Technology, Poland Conference: IVUS 2024: Information Society and University Studies 2024

Advanced Machine Learning

Machine learning applied to the Cybersecurity and Infrastructure Security Agency's "Known Exploited Vulnerabilities" catalog