training deep leaning models for detailed note on the attributes within the datasetvisit archive ics uci edu/ml/datasets/bank+marketing our objective is to build deep learning model that correctly classifies the outcome (depositfor given customer and campaign combination let' first look at the distribution of the target column in our dataset listing - demonstrates exploring the distribution of the target values listing - distributing the target values print("distribution of target values in dataset -"df deposit value_counts(out[]distribution of target values in dataset no yes namedepositdtypeint we can see that we have roughly similar distribution between yes and no in our dataset listing - explores the distribution of the null values in the dataset listing - distributing the na (nullvalues in the dataset #check if we have 'navalues within the dataset df isna(sum(out[]age job marital education default balance