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README.md

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@@ -674,7 +674,7 @@ First we need to import the test data using the same approach we used for the tr
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Now we can call the predict method which will allow us to generate the stock prediction based on the training done over the training data. As a result, we will generate a csv file that contains the result of the prediction and also a chart that shows what's the real vs the estimation.
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![](https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning/raw/master/Alphabet Inc_prediction.png)
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![](https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning/raw/master/Alphabet%20Inc_prediction.png)
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With the validation loss and validation MSE metrics:
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