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In machine learning, cross-validation and validation are two important methods for assessing the performance of a model. Cross-validation is a technique for estimating how well a model will generalize...

Searching in Data Structure: Different Search Methods ExplainedAs anyone who’s ever worked with data knows, searching is one of the most important operations you can perform. Given a set of data, you...

A priority Queue is a data structure that holds objects in a specific order. This order is decided by the priority of the object. The priority of an object can be anything like the highest to lowest...

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In machine learning, a confusion matrix is a table that is often used to evaluate the performance of a classification model (or "classifier") on a set of test data. For each instance in the test set...

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Information can be mined using a technical process called "data mining," which deals with very large data sets. Data mining seeks to establish norms or rules that may be applied to new or existing...