Provide a data mining model using Google Colab with Python codes

Overview Data mining tasks can be divided into four main categories: classification, clustering, association, and regression. - Classification: Classifying unseen examples (outcome is a class) - Association: Association between features (combinations of most frequent values) - Clustering: Groups of objects (examples) that are "close" or similar - Regression (prediction): Outcome is not a class, but numeric (real) value with each having general steps on building the model through (1) data selection, (2) preprocessing (training and testing data splitting), (3) transformation, (4) model building (model fit), and (5) model performance evaluation and interpretation