Data Allocation

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• Instructions: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any labeled output. The goal of unsupervised learning is to identify patterns and relationships in the data, and group similar data points t ... Read More >>
• Overfitting: Overfitting is a common problem in machine learning where a model is trained too well on the training data and starts to memorize it instead of learning the underlying patterns. This results in a model that performs well on the training dat ... Read More >>
• Transport: Transport in data science refers to the process of moving data from one location to another. This can include transferring data between different storage devices, such as hard drives or cloud servers, or transmitting data over a network, su ... Read More >>