Machine Learning Algorithms is more applicable for continuous data
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Regression Algorithms are the Machine Learning Algorithms that are more applicable for the analysis of continuous data.
Explanation:
- Regression is a predictive modeling and analyzing technique of continuous data. It helps in reading the relationship between the independent variable which is a predictor and the dependent variable which is the target.
- This technique is highly used in weather prediction, road accident data analysis, etc. as they are continuous (keeps on happening).
- Based on the type of data we are analyzing, the regression analysis is divided into several types. However, among them, linear and logistic regressions are highly used.
- Linear regression builds a relationship between the dependent and one or more independent variables with the help of a best fit straight line (using least square method). The graph goes for a straight line.
- If the dependent variable is of binary type, we use logistic regression. The graph forms a curve.
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