Data Glossary Lab

Lemmatization is the sophisticated process of grouping together the inflected forms of a word so they can be analyzed as a single item, identified by the word's "lemma" or dictionary form.

Linear algebra is a branch of mathematics concerned with linear systems: lines, planes, vector spaces, matrices, and operations on them, such as addition or multiplication. 

Logistic regression is a regression algorithm that uses a logistic function on the input features to predict the class probability or directly the class label for the target variable. In the second case, the output represents a set of categories instead of continuous values, meaning that the logistic regression acts here as a classification technique. A typical data science use case for logistic regression is predicting the likelihood of customer churn.

Linear regression is a regression algorithm that deals with modeling a linear relationship between a continuous target variable and one or several continuous features. A typical example of data science using linear regression is price prediction based on various input attributes.