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Classification vs. Regression Explained by firdausmsiahaan is a document available to read on EtoBox.

The document provides an overview of regression, a statistical and machine learning tool used to predict continuous numeric values based on input data. It covers various types of regression, including simple linear regression, multiple linear regression, and polynomial regression, as well as techniques for optimizing the model such as gradient descent and regularization methods. Additionally, it discusses evaluation metrics like Mean Absolute Error, Mean Square Error, and the Coefficient of Determination to

Author
firdausmsiahaan
Language
EN