def apply_task_condition(data):
    """
    Missing values: denoted by quotation marks (‘?’). Skip data samples with missing values in the target.
    Features to ignore: ‘symboling’
    """
    not_null = data[data.normalized_losses.notnull()]
    conditioned = not_null.drop("symboling", axis=1)
    return conditioned