Data Science for Business

Supervised learners can further help predict numeric values such as laboratory values, income, and test scores. T

but the target values deliver a supervisory role that guides the learner in whatever they need to learn.

The learning algorithm will try to identify and model the association between the target feature and other features. Predictive models don’t require one to forecast future events.

A predictive model is the best to use if you have tasks that alter the prediction of one value by applying another value in the data set.

Which type a Data Scientist should select depends on the task at hand and what he or she needs to achieve.

In brief, supervised learners create a predictive model while unsupervised learners build a descriptive model.

Machine Learning Algorithms

is vital to pay attention to what these features represent because both the number and type of features in the data set

If the following categories have a specific order, then the feature is referred to as ordinal.

represented by a set of classifiers, the feature is referred to as nominal or categorical.