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Scikit-Learn Regression Basics by pranalid900 is a document available to read on EtoBox.

This document introduces Scikit-Learn, a Python library for machine learning, focusing on regression models and metrics for beginners. It explains various regression techniques such as Linear Regression, Decision Tree Regressor, Random Forest Regressor, and Support Vector Regression, along with their applications and characteristics. The document also outlines the workflow for building a regression model and the metrics used to evaluate model performance.

Author

pranalid900

Language

EN