Data Analysis From Scratch With Python Beginner Guide using Python, Pandas, NumPy, Scikit-Learn, IPython, TensorFlow and Matplotlib - Peters Morgan.pdf

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D ATA A N A LY S I S F R O M S C R AT C H W I T H P Y T H O N

Step By Step Guide

Peters Morgan

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Preface

“Humanity is on the verge of digital slavery at the hands of AI and biometric technologies. One way to

prevent that is to develop inbuilt modules of deep feelings of love and compassion in the learning

algorithms.”

― Amit Ray, Compassionate Artificial Superintelligence AI 5.0 - AI with Blockchain, BMI, Drone, IOT,

and Biometric Technologies

If you are looking for a complete guide to the Python language and its library

that will help you to become an effective data analyst, this book is for you.

This book contains the Python programming you need for Data Analysis.

Why the AI Sciences Books are different?

The AI Sciences Books explore every aspect of Artificial Intelligence and Data

Science using computer Science programming language such as Python and R.

Our books may be the best one for beginners; it's a step-by-step guide for any

person who wants to start learning Artificial Intelligence and Data Science from

scratch. It will help you in preparing a solid foundation and learn any other high-

level courses will be easy to you.

Step By Step Guide and Visual Illustrations and Examples

The Book give complete instructions for manipulating, processing, cleaning,

modeling and crunching datasets in Python. This is a hands-on guide with

practical case studies of data analysis problems effectively. You will learn

pandas, NumPy, IPython, and Jupiter in the Process.

Who Should Read This?

This book is a practical introduction to data science tools in Python. It is ideal

for analyst’s beginners to Python and for Python programmers new to data

science and computer science. Instead of tough math formulas, this book

contains several graphs and images.

First Printing, 2016