Terms and definitions from all courses

Independent events: The concept that two events are independent if the occurrence of one event does not change the probability of the other event
Independent observation assumption: An assumption of simple linear regression stating that each observation in the dataset is independent
Independent variable (X): The variable whose trends are associated with the dependent variable
index(): A string method that outputs the index number of a character in a string


Indexing: A way to refer to the individual items within an iterable by their relative position
Inertia: The sum of the squared distances between each observation and its nearest centroid
Inferential statistics: A type of statistics that uses sample data to draw conclusions about a larger population
Info(): Gives the total number of entries, along with the data types—called Dtypes in pandas—of the individual entries
Inheritance: Refers to letting a programmer build relationships between concepts and group them together to reduce code duplication
Inner join: A way of combining data such that only the keys that are in both dataframes get included in the merge


Input validation: The practice of thoroughly analyzing and double-checking to make sure data is complete, error-free, and high-quality
Input: Information entered into a program


Input(): A Python function that can be used to ask a question in a message and store the answer in a variable
insert(): A function that takes an index as the first parameter and an element as the second parameter, then inserts the element into a list at the given index


Instance variable: A variable that is declared in a class outside of other methods or blocks Instantiation: Refers to creating a copy of the class that inherits all class variables and methods