Linear Regression Walk-Through: Polynomials, Overfitting, Cross-Validation [2021-02-26]
Автор: Victor Geislinger
Загружено: 2021-02-27
Просмотров: 1134
We walk through a notebook of a simple sample of a linear regression project in where we focus on using Scikit-learn's API to create polynomial and interacting features and fill missing values. We then show how to identify overfitting in using cross-validation as well as the importance of creating a hold out test set (train-test split). Finally, we introduce the concept of a Scikit-learn pipeline in order to more easily train and test our models.
The notebook used can be found at this link: https://www.kaggle.com/mrgeislinger/s...
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