One-hot Encoding

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• Transcription: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any predefined labels or target variables. The goal of unsupervised learning is to identify patterns and relationships within the data, and ... Read More >>
• Categorical Class Labels: In data science, categorical class labels refer to a type of data that represents a set of possible categories or classes that an observation can belong to. These labels are used in supervised learning algorithms to train models to predict ... Read More >>
• Multimedia Materials: Multimedia materials refer to any content that combines different forms of media such as text, audio, video, graphics, and animations. In the context of data science, multimedia materials are often used to represent complex data sets in a m ... Read More >>