Supervised machine learning grouped into classification and regression problems. All data is labeled and the algorithms learn to predict the output from the input data. The goal is to predict output variables from the input data.
Supervised machine learning grouped into classification and regression problems.
Classification: When output variable is category Regression: when output variable is continouns real value
RandomForest, XGBoost for classification and regression Linear regression for regression problems Support vector machines for classification problems