Md Faisal Kabir

Forecasting Fuel prices in Germany using LSTM (RNN) In this project, we are using LSTM to predict fuel prices of different petrol stations of Germany. Different fuel prices of all petrol stations are publicly available as Postgre SQL dump file. We extract that file to CSV file and randomly pick one station's one fuel price. Then using LSTM, we are trying to predict future prices. For this project, we are using Python programming language which including Pandas, NumPy, Scikit-learn and Keras libraries.