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

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

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

🔍 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.

Advanced Machine Learning

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