Media Summary: The video discusses the intuition and code for 05:42 - Code snippet 06:47 - Open Jupyter notebook 07:20 - Data 10:12 - Extending linear regression by exploring polynomial regression and
Create Feature Interactions Using Polynomialfeatures - Detailed Analysis & Overview
The video discusses the intuition and code for 05:42 - Code snippet 06:47 - Open Jupyter notebook 07:20 - Data 10:12 - Extending linear regression by exploring polynomial regression and FeatureEngineering Topics are covered in this video: This video is part of the Interpretable Machine Learning (IML) course from the SLDS teaching program at LMU Munich. This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ...
This video is part of a full course on statistics and machine-learning. The full course includes 35 hours of video instruction, tons of ...