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@ -49,6 +49,14 @@ y_train_updated = pd.Series(y_train_updated[:len(X_train)])
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# Update the 'y_train' array with the modified values
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y_train.loc[X_train.index] = y_train_updated
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# Fill NaN values with the mean of non-missing values
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y_train.fillna(y_train.mean(), inplace=True)
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# Convert the 'y_train' series to a NumPy array
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y_train = y_train.values
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# Create the neural network model
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model = Sequential()
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model.add(Dense(32, activation='relu', input_dim=X.shape[1]))
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