Supervised Learning

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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 >>
• Visual Elements: Visual elements refer to the components of a data visualization that convey information to the viewer. These elements include color, shape, size, position, and texture. In data science, visual elements are used to represent data in a way th ... Read More >>
• Activation Functions: Activation functions are mathematical functions that are used in artificial neural networks to introduce non-linearity to the output of a neuron. They are applied to the weighted sum of inputs and biases of a neuron to produce its output. T ... Read More >>