Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Supervised learning is an approach to machine learning that uses labeled data sets to train algorithms in order to properly classify data and predict outcomes.
Python is a general-purpose, object-oriented programming language that’s popular in data science thanks to its rich libraries offering deep learning capabilities.
Python is a popular programming language to use in machine learning because it offers developers exceptional versatility and power while integrating with other software.
