This section will discuss how to prepare data for a classifier. We will be using german.data from https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/german/, as an example and prepare the data for training and testing a classifier. Make sure all your labels are numeric, and the values are prepared for classification. Use 80% of the data points as training data.
data_frame_encoded.head() CheckingAccountStatus DurationMonths CreditHistory CreditPurpose \ 0 0 6 4 4 1 1 48 2 4 2 3 12 4 7 3 0 42 2 3 4 0 24 3 0 CreditAmount SavingsAccount EmploymentSince DisposableIncomePercent \ 0...