Using the script Lec$13-$EtheriumPrediction.py you need to create a similar RNN to predict the closing price of bitcoin. You can find in the attached file Lec$13-$BTC$-$USD.csv the historical data of Bitcoin$-$USD.

Lec$13-$BTC$-$USD.csv

For you to complete this final assignment you need to do some of the following $($or all for getting a full score$)$:

Revise the code so that it works for the new data

Add alternative models to tackle the problem $($e$.$g$.$ use a combination of LSTM networks$)$

Add the volume as a second feature in your model

Write a small paragraph $(10-20$ lines$)$ where you collect your ideas regarding this problem. Why is it difficult? What would be needed if we were to create a more accurate model?