Lecture

Feature Engineering: Polynomial Regression

Description

This lecture covers the concept of feature engineering, focusing on fitting linear regression on features of the original predictors. It includes topics such as data cleaning, transformations of the input and output, and the use of splines for flexible feature representation.

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Official source

https://mediaspace.epfl.ch/media/0_cizv5cfj

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Ontological neighbourhood

Information engineering

Machine learning: Topics in machine learning, Artificial neural networks

Data science: Topics in data science

Statistics

Data analysis: Regression analysis, Cross-validation

Mathematics

Analysis: Numerical analysis

Algebra: Linear algebra

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