upd51
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@ -56,7 +56,8 @@ y_train.fillna(y_train.mean(), inplace=True)
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y_train = y_train.values
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y_train = y_train.values
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# Filter out non-numeric and NaN values from y_train
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# Filter out non-numeric and NaN values from y_train
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y_train = np.array([x for x in y_train if np.isfinite(x)])
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y_train = y_train.astype(float)
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y_train = y_train[np.isfinite(y_train)]
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# Create the neural network model
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# Create the neural network model
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model = Sequential()
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model = Sequential()
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