When signaficant amount of data in highly-important features are missing, what can we do? Impute the missing data with mean or median? In this Juyter notebook, I demonstrate embedding a XGBoost model to do the data imputation in the data transformer.
I prepare and build a logistic regression model using Python with this notebook on the Titanic dataset. Tags: Python, Logistic Regression, Titanic dataset, Data prep-rocessing, Machine learning.
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