3.11 Model interpretation

3.11 Model interpretation

Slides

Notes

This video was about the interpretation of coefficients, and training a model with fewer features.

In the formula of the logistic regression model, only one of the one-hot encoded categories is multiplied by 1, and the other by 0. In this way, we only consider the appropriate category for each categorical feature.

Classes, functions, and methods:

• zip(x,y) - returns a new list with elements from x joined with their corresponding elements on y

The entire code of this project is available in this jupyter notebook.

• Notes from Peter Ernicke

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