Module 43 Machine Learning Tasks

43.1 Association Rules Mining

Associations in the dataset? (Must categori-fy first)

43.2 Clustering

Natural groups of songs? Natural groups of artists? Model validation?

43.2.1 k-Means

43.2.2 Mixed-Type Clustering

43.2.3 Hierarchical Clustering

43.2.4 Specctral Clustering

43.2.5 Expectation-Maximization Clustering

43.2.6 Clustering Ensembles

43.3 Classification

Is a song a hit or not? What factors come into play? Demonstrate overfitting, model validation, etc.

43.3.1 Logistic Regression

43.3.2 Discriminant Analysis

43.3.3 Decision Trees

43.3.4 Naïve Bayes Classification

43.3.5 Support Vector Machines

43.3.6 Artificial Neural Networks

43.3.7 Ensemble Learning Methods