Machine Learning using Python

By:

Pradhan, Manaranjan

Contributor(s):

Kumar, Dinesh

Material type: Text

TextPublication details: New Delhi Wiley India Pvt Ltd 2019Description: xx, 343pISBN:

978-81-265-7990-7

Subject(s):

Machine Learning, Analytics, Distributions and Hypothesis Tests, Linear Regression etc

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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Item type	Current library	Call number	Status	Notes	Date due	Barcode
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

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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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