Benefit Computing Using Python & Ml

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

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►Article :
https://medium.com/@randerson112358/stock-price-prediction-using-python-machine-learning-e82a039ac2bb

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