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• Filter Methods: Filter methods are a type of feature selection technique in which the features are selected based on their statistical properties such as correlation, mutual information, or variance. These methods are applied before the model is trained an ... Read More >>
• Deployment: Deployment in Data Science refers to the process of making a model or application available for use in a production environment. This involves taking the code and model that were developed during the training and testing phases and deployin ... Read More >>
• Key-value: Key-value is a data storage paradigm where data is stored as a collection of key-value pairs. In this paradigm, each piece of data is identified by a unique key, and the corresponding value can be retrieved using that key. Key-value stores ... Read More >>