Linear regression is an excellent place to start when using machine learning to predict numbers. Combined with relevant features, it’s a slam dunk. Related content ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

You regularly help train machine learning models. Regression problems, on the other hand, deal with problems where there is a set of inputs that need to be mapped to an output value.

Song X, Liu X, Liu F, et al: Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis. Int J Med Inform 151:104484, 2021.

Applying machine learning algorithms and libraries: ... ensemble of multiple models) and a learning procedure to fit the data (linear regression, gradient descent, genetic algorithms, bagging, ...