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Polynomial Regression Analysis Guide by Yash Shirsat is a document available to read on EtoBox.

The document provides an overview of polynomial regression, detailing its steps including data preparation, choosing polynomial degree, feature transformation, model fitting, evaluation, and visualization. It highlights the benefits of polynomial regression in capturing non-linear relationships and improving predictions compared to linear models. Additionally, it includes a problem statement with Python code implementing polynomial regression using scikit-learn, demonstrating the model

Author
Yash Shirsat
Language
EN