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Take a look at some of the most popular data science and machine learning algorithms.
Decision trees are supervised machine learning algorithms for decision-making. They're amongst the most intuitive and explainable machine learning algorithms.
Random forest is an ensemble model made of several decision trees. It can be used for both classification and regression tasks.
Logistic regression is a statistical method used for classification. It is a natural extension of linear regression. The final output in logistic regression ranges between 0-1 and doesn't take on any real number (like in Linear Regression).
Linear regression is a statistical method to model linear relationships. There are two types of linear regression—simple linear regression and multiple linear regression.