Python
Definition of Python
Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.
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Time-Series
ByDavis
Definition of Time-Series Time-Series: A time-series is a sequence of data points, usually measured at successive points in time. Time-series analysis is the process of examining these data points in order to identify and understand trends and patterns. Time-series data can be used to predict future events, track performance over time, or measure the impact…
Network Analysis
ByDavis
Definition of Network Analysis Network Analysis: Network analysis is the process of studying relationships between entities in a network. Network analysis can be used to understand how information flows through a network, or to identify important nodes in a network.
Entropy
ByDavis
Definition of Entropy Entropy: Entropy is a measure of the unpredictability of a system. In information theory, entropy ( ) is a measure of the uncertainty associated with a random variable. Entropy is defined as the average amount of information that is not known about the value of a random variable. When is Entropy used?…
Exact Match
ByDavis
Definition of Exact Match Exact Match: Exact match is a term used in data science to describe a type of search algorithm that compares two strings of text and determines whether or not they are an exact match. What is an Exact Match used for? An Exact Match is a type of data matching algorithm…
Naive Bayes Classifier
ByDavis
Definition of Naive Bayes Classifier A naive Bayes classifier is a machine learning algorithm that relies on the assumption that the features of a given object are independent of each other. This algorithm is often used for text classification tasks, such as sorting email into spam and non-spam folders.