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Classification Pipeline using Ensemble Models

This repository contains a reimplementation of the classification example featured in the first chapter of the "Machine Learning Engineering with Python Textbook " textbook by Andrew McMahon's. Additionally, the model adds a production and deployment verion.

Data Information

This dataset pertains to the direct marketing strategies, specifically phone call campaigns, conducted by a Portuguese bank. The primary objective of this classification is to ascertain whether a client will agree to subscribe to a term deposit (denoted as variable y).

Key Details of the Dataset:

bank-additional-full.csv: Contains a comprehensive set of data (41,188 instances) with 20 variables, chronologically arranged from May 2008 to November 2010. This dataset closely aligns with the analysis presented in Moro et al., 2014.

UC Irvine Machine Learning Repository

Bank Marketing Dataset.

License

This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

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This repository contains a reimplementation of the classification example featured in the first chapter of the "Machine Learning Engineering with Python Textbook " textbook by Andrew McMahon's. Additionally, the model adds a production and deployment verion.

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