Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An exploration of python libraries in machine learning models for data science Description An account of the resource Python libraries are used in this chapter to create data science models. Data science is the construction of models that can predict and act on data, which is a subset of machine learning. Data science is an essential component of a number of fields because of the exponential growth of data. Python is a popular programming language for implementing machine learning models. The chapter discusses machine learning's role in data science, Python's role in this field, as well as how Python can be utilized. A breast cancer dataset is used as a data source for building machine learning models using Python libraries. Pandas, numpy, matplotlib, seaborn, scikitlearn, and tensorflow are some Python libraries discussed in this chapter, in addition to data preprocessing methods. A number of machine learning models for breast cancer treatment are discussed using this dataset and Python libraries. A discussion of machine learning's future in data science is provided at the conclusion of the chapter. Python libraries for machine learning are very useful for data scientists and researchers in general. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Sundaram J.; Gowri K.; Devaraju S.; Gokuldev S.; Jayaprakash S.; Anandaram H.; Manivasagan C.; Thenmozhi M. Source A related resource from which the described resource is derived Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science, pp. 1-31. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-8696-2.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8696-2.ch001</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174344088&amp;doi=10.4018%2F978-1-6684-8696-2.ch001&amp;partnerID=40&amp;md5=63f0db3fbe90ea3b452ed93349d37ddb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174344088&amp;doi=10.4018%2f978-1-6684-8696-2.ch001&amp;partnerID=40&amp;md5=63f0db3fbe90ea3b452ed93349d37ddb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848698-6; 978-166848696-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sundaram J., CHRIST University (Deemed), India; Gowri K., Sri Ramakrishna College of Arts and Science, India; Devaraju S., VIT Bhopal University, India; Gokuldev S., Rathinam College of Arts and Science, India; Jayaprakash S., BlueCrest University College, Ghana; Anandaram H., Amrita Vishwa Vidyapeetham, India; Manivasagan C., Rathnavel Subramaniam College of Arts and Science, India; Thenmozhi M., Sri Eshwar College of Engineering, India