Research
PyTorch Time-Series Forecasting: Concepts and Implementation
Technical reference for LSTM-based stock price prediction. Covers data normalization, tensor shapes, training loops, and PyTorch mechanics for recurrent neural networks.
Particle Physics · Edison, NJ
I'm a high school student fascinated by particle physics and the mathematics that underpins the universe. This is where I document my research, ideas, and simulations.
Technical reference for LSTM-based stock price prediction. Covers data normalization, tensor shapes, training loops, and PyTorch mechanics for recurrent neural networks.
"The first principle is that you must not fool yourself — and you are the easiest person to fool."