Which algorithm is commonly used for predicting a continuous target variable?
- Decision Trees
- K-Means Clustering
- Linear Regression
- Naive Bayes Classification
Linear Regression is a commonly used algorithm for predicting continuous target variables. It establishes a linear relationship between the input features and the target variable, making it suitable for tasks like price prediction or trend analysis in Data Science.
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