Data Science

Completely hands-on so that you can start the real work!

The book is intended to get you acquainted with the world of Supervised Machine Learning and does not assume previous knowledge of the field. The commonly leveraged Linear Regression technique used to provide predictions that are continuous in nature is detailed in the book. SAMPLE CODE INCLUDED!

Are all problems worth solving? The following white paper is going to challenge you to answer that question for yourself. In order to do this you'll follow the ADDIE process combined with cognitive Learning Outcomes. Understanding this method will allow you to flip your perspective and measure cognitive development more effectively.

You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques.Also we will try to make an attempt to document the most essential methods that every user should know. NumPy has many methods to even mention in this book!

Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projects

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) written in July 2009 - January 2010. This major revision contains corrections and WinDbg output color highlighting.

Although this book is not a comprehensive text that covers every single aspect about creating R packages, I’ve written it in the spirit of an extended tutorial or guide document with a relatively simple working example.

This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.

The book is designed to walk you through the various stages of a Big Data Analytics project, concepts and possible avenues when working with huge and overwhelming amounts of structured and unstructured data. Please check the bundle options with this book for better deals!

This companion book to "Spreadsheet Adventures: Coloring Fun with Conditional Formatting" contains Excel files with beautiful patterns, ready for you to change and color to your heart's content. The most important part of this companion book is not the book itself – you can read it for free – but those Excel files provided with your purchase!

Getting Started With Statistics is a series of short, snappy books (4 with more coming soon) that will help you get started with statistics and inspire you to take the next steps.Getting Started With Statistics makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data.

Este livro está em construção e vem sendo elaborado com base nas notas de aula da disciplina Visualização de Informação lecionada no Departamento de Informática da PUC-Rio. Para enviar comentários ou sugestões, entre em contato através do email livro.vis.dados@gmail.com.

This is your go-to book for understanding difficult concepts in Sampling Techniques in lucid language. At the end of this book, you will be familiar with the data collection process and the commonly used random and non-random sampling techniques. Please check the bundle options with this book for better deals!

The book explains the core concepts and terminologies of Descriptive Statistics using real-world examples. The book contains 17 practice problems, 2 quizzes, 36 graphical representations and numerous examples to enable effective learning and understanding of the concepts. Please check the bundle options with this book for better deals!

"It is like a voyage of discovery, seeking not for new territory but new knowledge. It should appeal to those with a good sense of adventure," Dr. Frederick Sanger. I hope every reader enjoys this voyage in deep learning and find their adventure.