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Machine Learning using Python

By: Contributor(s): Material type: TextTextPublication details: New Delhi Wiley India Pvt Ltd 2019Description: xx, 343pISBN:
  • 978-81-265-7990-7
Subject(s): DDC classification:
  • 005.133/PRA/KUM
Summary: This book is written to provide a strong foundation in Machine Learning using Python libraries by providing real-life case studies and examples. It covers topics such as Foundations of Machine Learning, Introduction to Python, Descriptive Analytics and Predictive Analytics. Advanced Machine Learning concepts such as decision tree learning, random forest, boosting, recommender systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
Books Books Symbiosis Institute of Computer Studies and Research Python 005.133/PRA/KUM (Browse shelf(Opens below)) Checked out Machine Learning, Analytics, Distributions and Hypothesis Tests, Linear Regression etc. 25/07/2025 SICSR-B-19635

This book is written to provide a strong foundation in Machine Learning using Python libraries by providing real-life case studies and examples. It covers topics such as Foundations of Machine Learning, Introduction to Python, Descriptive Analytics and Predictive Analytics. Advanced Machine Learning concepts such as decision tree learning, random forest, boosting, recommender systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.

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