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A hedging strategy that uses long call and put positions on Binance perpetual futures to offset impermanent loss for a Uniswap V2 ETH/USDC liquidity provider. Includes the constant-product math behind the model and backtests showing reduced max drawdown in volatile and declining markets.

Applying Gaussian process classification to the Titanic dataset to predict passenger survival from age and fare using scikit-learn and an RBF kernel. Walks through data exploration, preprocessing, and evaluation (~72% accuracy), with surface and heatmap visualizations of the predicted survival probabilities.