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1. Graph-Convolutional-Network Graph-Convolutional-Network Public

   Covering the basics of Graph Convolutional Network (GCN) and applying GCN to exchange rate forecasting problem.

   Jupyter Notebook 1 1

2. House-sales-forecasting House-sales-forecasting Public

   Using Vector Autoregression (VAR) models to generate forecasts of house property sales.

   Jupyter Notebook

3. Future-predictions-of-Covid-19-cases Future-predictions-of-Covid-19-cases Public

   Predicting the daily new confirmed cases in the UK by using AutoRegressive Integrated Moving Average (ARIMA) model.

   Jupyter Notebook

4. Exchange-rate-forecasting Exchange-rate-forecasting Public

   Generating forecast for GBP/USD based on the adoption of Artificial Neural Network (ANN).

   Jupyter Notebook

5. Signed-GCN Signed-GCN Public

   Source code for the manuscript "On the modelling and impact of negative edges in graph convolutional networks for node classification", NeurIPS 2023 Workshop: New Frontiers in Graph Learning.

   Python 1

6. python-causality-handbook-1 python-causality-handbook-1 Public

   Forked from matheusfacure/python-causality-handbook

   Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

   Jupyter Notebook