proof of concept for a transformer-based time series prediction model

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.

An GRU (Gated Recurrent Unit) model that can predict stops to an extremely well accuracies. Relies on Memory retention ability of LSTM/GRU models.

This repository contains the codes and research report for the Box Office Return Prediction Research Project developed during the International Masters in Data Analytics at the University of Hildes…

Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.