A machine learning model is a mathematical representation of a process. The model is created to be exposed to new data to be able to independently adapt to the changes. Model preparation is an important step in the machine learning processing since the model represents the backbone of the entire machine learning process. Although there are many different types of machine learning models such as classification, regression, clustering, and deep learning, these approaches can be broken down into two general subtypes: Supervised learning and unsupervised learning.
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