A look into some of the econometrics and data work I've done. Mostly Python scripts, models and school papers.
Deep dive into Denoising Autoencoders using MNIST. I tested 9 models to see how depth and PCA-based bottlenecks...
A study testing SVM kernel robustness (Linear, Polynomial, RBF) against noisy MNIST data[cite: 264]. While RBF leads...
Predictive modeling of US gasoline inflation using ARMA and ARIMAX frameworks. A study on market volatility, Brent...
