Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating logical rules, Decision Trees can aid businesses in making informed decisions based on available data.
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…