Stock Price Prediction Using Python & Machine Learning

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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())

What will i learn

  • 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.
Course content 00:49:48 Hours 1 lessons
Section 1 - Full course
1 Lessons 00:49:48 Hours
  • Stock Price Prediction Using Python & Machine Learning 00:49:48

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