Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
1))) model.add(Dense(units=n_steps_out)) model.compile(loss='mean_squared_error', optimizer='Adam', metrics=['mape']) model.fit(x=X_train, y=y_train, epochs=500, batch_size=18, verbose=2) # Make predictions lstm_predictions = model.predict(X_test) predictions =