Regression is a supervised machine learning algorithm approach used to determine the relationship between variables. It aids in predicting the value of the dependent variable (y) using the independent variable (x). It is mostly used for forecasting, prediction, time series modelling, and identifying the causal-effect link between variables.
Python's Scikit package is used to implement all machine learning and regression techniques.
In machine learning, there are two types of regression algorithms:
Regression Linear: When the variables are continuous and numerical in nature, this syntax is used.
Logistic Regression is used when the variables are both continuous and categorical. for more info visit:
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