Terms and definitions from all courses

Class: An object’s data type that bundles data and functionality together
Classical probability: A type of probability based on formal reasoning about events with equally likely outcomes
Cleaning: The process of removing errors that might distort your data or make it less useful; one of the six practices of EDA
Cluster random sample: A probability sampling method that divides a population into clusters, randomly selects certain clusters, and includes all members from the chosen clusters in the sample
Collaborative filtering: A technique used by recommendation systems to make comparisons based on who else liked the content
Collective outliers: A group of abnormal points, following similar patterns and isolated from the rest of the population Comparator: An operator that compares two values and produces Boolean values (True/False)


Complement of an event: In statistics, refers to an event not occuring Complement rule: A concept stating that the probability that event A does not occur is one minus the probability of A
Complete: The maximum pairwise distance between clusters Composition: Refers to defining attributes and methods at the instance level to have a more differentiated relationship between objects in the same class
Computer programming: The process of giving instructions to a computer to perform an action or set of actions


concat(): A pandas function that combines data either by adding it horizontally as new columns for existing rows or vertically as new rows for existing columns


Concatenate: To link or join together


Concatenation: Refers to building longer strings out of smaller strings Conditional probability: Refers to the probability of an event occurring given that another event has already occurred


Conditional statement: A section of code that directs the execution of programs Confidence band: The area surrounding a line that describes the uncertainty around the predicted outcome at every value of X