Question: what is the difference between a model parameter and a learning algorithms hyperparameter?
Answer: Model parameters are the properties of the training data that are learnt during training by the classifier or other ml model. ... Model hyperparameters, on the other hand, are common for similar models and cannot be learnt during training but are set beforehand.