Python with Machine Learning

Python with Machine Learning

Authors : A. Krishna Mohan, Karunakar & T. Murali Mohan

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About the Author

A. Krishna Mohan :-
Professor, Department of CSE, University College of Engineering, JNTUK, Kakinada, Andhra Pradesh, India. He has 10+ years of Experience in IT Industry and 4+ years of Management Experience and worked for MNC's Like Fuzitsu, Mastech, Cigna, HardFord Insurance, Citi Corp, Quest Diagnostics and TCS. He worked 10+ years of experience in overseas countries like USA, Singapore etc., He got Best Manager Award in TCS and Awarded Twice Best Teacher by outgoing student evaluation for the years 2013 and 2016. He has 10+ years of Teaching Experience in Government University JNTUK, and a vast knowledge in various platforms like J2EE Technologies Servlets, JSP, EJBs, struts, Springs and Web Technologies like JavaScript, Html, Xml and Design Object Oriented Systems like MVC Architecture, Jakarta struts Spring frame work and Rational Rose. He is expertise in BIG Data, Data Mining, Hadoop, Hadoop tools like Hive, PIG and HBase, and Statistical Analysis using R. He is resource person to the train the faculty at various Universities.

Karunakar :-
Assistant Professor in SIET, Narasapur, West Godavari, Andhra Pradesh, holds a good academic experience in Teaching Under Graduates and Postgraduate students. He is currently pursuing Ph.D from VELTECH University, Chennai. He has published technical papers in various reputed National and International Journals and Conferences. He is certified by IIT Madras in "Programming, Data Structures and Algorithms using Python"

T. Murali Mohan :-
Associate Professor, and Head of the Department of CSE, Swarnandhra Institute of Engineering and Technology (SIET), Narsapur, West Godavari, Andhra Pradesh, India. He was a former MONBUSHO(MEXT) Scholar from Govt. of Japan and awarded the degree Ph.D from Hiroshima University, Hiroshima, Japan. He is an author of "Statistics with R Programming (A Beginner's Guide)" by S.CHAND Publication. He has vast experience in Teaching, Industrial and Research. He has published Number of Technical papers in National and International Journals. He got a BEST Paper award in the 13th International Conference at Goa, 2013. He worked as a Technical developer on PLC Programming in FAITH Corp. Japan for MITSUBISHI Projects.

About the Book

This book contains in-depth knowledge of "Python with Machine Learning". This book is written in a logical and sequential, outputs with print screen, modules for systematic development of the subject. This book is covered for all the students those who are interested to learn programming on Python and Machine learning. Each and Every program along with example is executed practically. This book is aimed at emerging trends in Technology, development all over the Globe and even corporate people also will learn all the topics. Each topic is explained very simple and given a lot of example with syntax. It has been written in an articulate manner and is packed with practical approach target for all students of Undergraduate, Graduate, of Computer Science and Engineering (M.Tech, M.C.A, M.Sc (CS, IT) B.Tech), Research Scholar and Corporate Employees those who are new to this area.

Salient Features

• In-depth coverage of python programming language.
• A chapter outline has been included at the beginning of each chapter highlighting the topics covered.
• Includes a number of Examples, Multiple-Choice Questions (MCQs) along with keys for every chapter.
• Clear and Concise Explanations.
• Each topic is executed practically in sufficient depth to expose the basic principles, concepts and techniques.
• Easily learn Machine Learning Concepts and Python Programming Skillsa

Table of Content

1. Introduction to Python
2. Types, Operators and Expressions
3. Data Structures
4. Functions, Modules and Packages
5. Object Oriented Programming 
6. Multithreading, GUI, Turtle, Testing and Standard Libraries
7. Introduction to Machine Learning
8. NumPy (Numerical Python)
9. SciPy (Scientific Computing)
10. Python - Pandas
• Multiple Choice Questions