This project asks a simple question: do Amazon call options trade at prices that make sense under Black–Scholes? Using real market data, the model prices options based on the current stock price (as of 2/3/2026), time to expiration, risk-free interest rates, and volatility estimated from historical returns.

The goal of this project is to build a machine learning model to predict whether an individual has polycystic ovary syndrome (PCOS). Using a dataset from Kaggle, we will explore and compare different machine learning techniques to identify the most accurate model for this binary classification problem.