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What is Comparing Logistic Regression and Naive Bayes about?

The document outlines a project comparing Logistic Regression and Naive Bayes models to predict bank loan deposits using a dataset of bank clients. It details the steps for exploratory data analysis, preprocessing, and model training, including data visualization and outlier removal. The dataset contains various attributes such as age, job type, marital status, and loan information, which will be analyzed to determine the best performing model.

Author

verma.shubham.01.05.08

Language

EN