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.
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