Synopsis
Comprehend the ocean of Data Science into small book
Key Features
Easy to learn, step by step explanation of examples. Questions related to core/basic Python, Excel, basic and advanced statistics are included. Covers numpy, scipy, sklearn and pandas to a greater detail with good number of examples
Description
The book “Data science with Machine learning- Python interview questions” is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form.
Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview.
This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview.
Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be.
With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion.
What you will learn
You can learn the basic concept and terms related to Data ScienceYou will get to learn how to program in pythonYou can learn the basic questions of python programmingBy reading this book you can get to know the basics of NumpyYou will get familiarity with the questions asked in interview related to Pandas. You will learn the concepts of Scipy, Matplotib, and Statistics with Excel Sheet
Who This Book is For
The book is intended for anyone wish to learn Python Data Science, Numpy, Pandas, Scipy, Matplotib and Statistics with Excel Sheet. This book content also covers the basic questions which are asked during an interview. This book is mainly intended to help people represent their answer in a sensible way to the interviewer. The answers have been carefully rendered in a way to make things quite simple and yet represent the seriousness and complexity of matter. Since data science is incomplete without mathematics we have also included a part of the book dedicated to statistics.
Table of ContentsData Science Basic Questions and Terms Python Programming Questions Numpy Interview Questions Pandas Interview QuestionsScipy and its Applications Matplotlib Samples to Remember Statistics with Excel Sheet
About the Author
Mr Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. Playing with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning.
About the Author
Mr. Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. Playing with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning. Teaching is his passion and he is proud to have taught more than a thousand students across the globe. "This book delivers what it promises, covering machine learning and data science from the interview perspective. Most of these questions are regularly asked in an interview and the answers are to the point. Appreciate for this gold mine for students, professional and Teachers." - Kaustubh Panchal 11 years exp in ML, Big Data and data science as Solution Architect.
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