Machine learning in Data science

The following are by far the most widely Used Machine learning algorithms used by Data Scientists:

1. Linear Regression:
The linear regression method is used to predict the value of a dependent variable that uses the values of an independent variable.

2. Logistic Regression:
Linear Regression is often used to depict the connection between two continuous variables. Logistic Regression, on the other hand, works on discrete data.

3. Decision Trees:
Decision trees aid in the resolution of classification and prediction problems. It tends to make the information easier to understand, resulting in more accurate predictions. Almost every node in the Decision tree denotes a function or an attribute, each link signifies a decision, so each leaf node denotes a class label, i.e. the outcome.