Data Science and Analytics with Python
Data Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools. Mastery of these areas will enable students to become proficient and effective data scientists.
1144353511
Data Science and Analytics with Python
Data Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools. Mastery of these areas will enable students to become proficient and effective data scientists.
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Data Science and Analytics with Python

Data Science and Analytics with Python

Data Science and Analytics with Python

Data Science and Analytics with Python

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Overview

Data Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools. Mastery of these areas will enable students to become proficient and effective data scientists.

Product Details

ISBN-13: 9789393330345
Publisher: Orient BlackSwan
Publication date: 07/21/2023
Pages: 500
Product dimensions: 7.12(w) x 9.50(h) x (d)

About the Author

Sandhya Arora is Professor, Department of Computer Engineering, MKSSS’s Cummins College of Engineering, Pune, Maharashtra.

Latesh Malik is Associate Professor, Department of Computer Science and Engineering, Government College of Engineering, Nagpur, Maharashtra.
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