Practical data science with jupyter / Prateek Gupta explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and jupyter

By:

Gupta, Prateek

Language: English Publication details: Bpb Publications c2021 Delhi :Edition: 1st edDescription: xvii, 341 p. : ill. 24 cmISBN:

9789389898064

Subject(s):

Big data; Database management ; Python Computer program language

DDC classification:

005.74 GUP

Summary: This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you will clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies.

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Item type	Current library	Call number	Status	Barcode
English Books	Anna Centenary Library 3RD FLOOR, A WING	005.74 GUP (Browse shelf(Opens below))	Available	675316

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Includes index

This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you will clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies.

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Practical data science with jupyter / Prateek Gupta explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and jupyter

Browsing Anna Centenary Library shelves, Shelving location: 3RD FLOOR, A WING Close shelf browser (Hides shelf browser)

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