Code for the Time Series Forecasting Challenge, part of the Artificial Neural Networks and Deep Learning course at Politecnico di Milano, AY 2023/24.

Contributors:

• Federica Pertusi (github - linkedin)
• Giorgio Romano (github - linkedin)
• Chiara Zelioli (github - linkedin)

Task: given a general domain time series dataset, implement a RNN to predict the 18 future time-steps.

Key concepts: Recurrent Neural Networks (RNN), LSTM, GRU, Attention Mechanism.