What are the different models in Machine Learning?

What is a machine learning model?
A machine learning model can be a mathematical representation of a real-world process. The learning algorithm finds patterns in the training data such that the input parameters correspond to the target. The output of the training process is a machine learning model which you can then use to make predictions.

What is the difference between a model and an algorithm?
Algorithms are methods or procedures taken in other to get a task done or solve a problem, while Models are well-defined computations formed as a result of an algorithm that takes some value, or set of values, as input and produces some value, or set of values as output.

What are different models in Machine Learning?
Decision Tree based methods
Linear regression based methods
Neural Network
Bayesian Network
Support Vector Machine
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