Stock Price Prediction Using Python & Machine Learning (LSTM).

In this video you will learn how to create an artificial neural network called Long Short Term Memory to predict the future price of stock.

NOTE: In the video to calculate the RMSE I put the following statement:

rmse=np.sqrt(np.mean((predictions- y_test)**2))

When in fact I meant to put :

rmse=np.sqrt(np.mean(((predictions- y_test)**2)))

You can use the following statements to calculate RMSE:

- rmse =np.sqrt(np.mean(((predictions- y_test)**2)))
- rmse = np.sqrt(np.mean(np.power((np.array(y_test)-np.array(predictions)),2)))
- rmse = np.sqrt(((predictions - y_test) ** 2).mean())