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Bank Marketing Full Eda 0 39798600 1774781260 by Dushyant Kewat is a document available to read on EtoBox.

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The document outlines a project aimed at predicting customer subscriptions to bank term deposits using a dataset with various features such as age, job type, marital status, and financial history. It emphasizes the importance of handling class imbalance in the target variable, with a severe ratio of 47:1 favoring non-subscribers, and specifies the use of F1-score as the evaluation metric. The document also details the data preparation steps, including exploratory data analysis (EDA), feature engineering, an

Author
Dushyant Kewat
Language
EN

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