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• K-Nearest Neighbor: K-Nearest Neighbor (KNN) is a non-parametric machine learning algorithm used for classification and regression. In KNN, the output is a class membership or a real value based on the k closest training examples in the feature space. KNN is a ... Read More >>
• Symmetric Key Encryption: Symmetric Key Encryption is a type of encryption where the same secret key is used for both encryption and decryption of data. In this method, the sender and receiver both use the same key to encrypt and decrypt the message. The key is kept ... Read More >>
• Themes: In Data Science, themes refer to the underlying patterns or topics that emerge from the analysis of a dataset. These themes can be identified through various techniques such as clustering, topic modeling, and sentiment analysis. Themes can ... Read More >>