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First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

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Prediction ![image](https://user-images.githubusercontent.com/45368526/193457605-e415c021-efca-4332-98f3-0cf1ea80eb3a.png) Start Of My dataset(2500 lines total) ![image](https://user-images.githubusercontent.com/45368526/193457631-43817ce4-a051-401f-a02d-8d9c1656ed95.png) I'd like to make predictions for dates after 10-2-2022(Last day of my dataset) And also plot test data is dependent to...

With relative ease I was able to modify it to accept a csv in a slightly altered format. I just don't understand where the prediction comes in, I can view...

when executing code **targets = test[aim][window_len:] preds = model.predict(X_test).squeeze() mean_absolute_error(preds, y_test)** an error occurs "NameError: name 'test' is not defined" how can i fix this error?