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Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview

By: Material type: TextTextLanguage: English Publication details: New Delhi : Bpb Publications, 2019Edition: 2Description: 132ISBN:
  • 9789389845785
Subject(s): DDC classification:
  • 005.133 (PYT) NAR
Summary: ata science and Machine learning interview questions using Python,” a book which is a true companion of people aspiring for data science and machine learning, and it provides answers to most asked questions in an easy to remember and presentable form.Book mainly intended to be used as last-minute revision, before the interview, as all the important concepts and various terminologies have been given in a very simple and understandable format. Many examples have been provided so that the same can be used while giving answers in an interview.The book is divided into six chapters, which starts with the Data Science Basic Questions and Terms then covers the questions related to Python Programming, Numpy, Pandas, Scipy, and its Applications, then at the last covers Matplotlib and Statistics with Excel Sheet.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book ACED Computer Science and Information Technology 005.133 (PYT) NAR (Browse shelf(Opens below)) Available E11959
Book Book Alliance School of Liberal Arts and Humanities 005.133 (PYT) NAR (Browse shelf(Opens below)) Available LA01351
Total holds: 0

ata science and Machine learning interview questions using Python,” a book which is a true companion of people aspiring for data science and machine learning, and it provides answers to most asked questions in an easy to remember and presentable form.Book mainly intended to be used as last-minute revision, before the interview, as all the important concepts and various terminologies have been given in a very simple and understandable format. Many examples have been provided so that the same can be used while giving answers in an interview.The book is divided into six chapters, which starts with the Data Science Basic Questions and Terms then covers the questions related to Python Programming, Numpy, Pandas, Scipy, and its Applications, then at the last covers Matplotlib and Statistics with Excel Sheet.

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