Predicting different market prices using Deep Learning and Recurrent Neural Networks
STAD-GCN: Spatial-Temporal Attention-based Dynamic Graph Convolutional Network for Retail Market Price Prediction, pytorch version (ESWA 2024)
This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI and minimizing student loan debt.
Quickly predict the future prices of financial instruments with a customizable LSTM Recurrent Neural Network
Recurrent neural network for short-term market price prediction using TensorFlow
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