Terms and definitions from all courses

Confidence interval: A range of values that describes the uncertainty surrounding an estimate
Confidence level: A measure that expresses the uncertainty of the estimation process
Confusion matrix: A graphical representation of how accurate a classifier is at predicting the labels for a categorical variable
Construct stage: Stage of the PACE workflow where data models and machine learning
algorithms are built, interpreted, and revised to uncover relationships within the data and help unlock insights from those relationships
Constructor: A special method to add values to an instance in object creation


Content-based filtering: A technique used by recommendation systems to make comparisons based on attributes of content


Contextual outliers: Normal data points under certain conditions but become anomalies under most other conditions


Continuous random variable: A variable that takes all the possible values in some range of numbers


Continuous: A mathematical concept indicating that a measure or dimension has an infinite and uncountable number of outcomes


Continuous variables: Variables that can take on an infinite and uncountable set of values
Convenience sample: A non-probability sampling method that involves choosing members of a population that are easy to contact or reach


Correlation: Measures the way two variables tend to change together Cross-validation: A process that uses different portions of the data to test and train a model on different iterations
CSV file: A plaintext file that uses commas to separate distinct values from one another; Stands for "comma-separated values”


Customer churn: The business term that describes how many and at what rate customers stop using a product or service, or stop doing business with a company