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Data Cleaning Pocket Primer
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Book Synopsis Data Cleaning Pocket Primer by : Oswald Campesato
Download or read book Data Cleaning Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2018-01-16 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. It is designed as a practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks. The book is packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together. Companion files with source code are available for downloading from the publisher. Features: - A practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks - Includes the concept of piping data between commands, regular expression substitution, and the sed and awk commands - Packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together - Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks - Includes companion files with all of the source code examples (download from the publisher).
Book Synopsis Python Tools for Data Scientists Pocket Primer by : Oswald Campesato
Download or read book Python Tools for Data Scientists Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-10-21 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. FEATURES: Introduces Python, NumPy, Sklearn, SciPy, and awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code
Book Synopsis Natural Language Processing using R Pocket Primer by : Oswald Campesato
Download or read book Natural Language Processing using R Pocket Primer written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2022-01-05 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included and available for downloading by emailing the publisher at [email protected] with proof of purchase. FEATURES: Covers extensive topics related to natural language processing using R Features companion files with source code and figures from the book
Book Synopsis Dealing With Data Pocket Primer by : Oswald Campesato
Download or read book Dealing With Data Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-05-04 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization Introduces probability and statistical concepts Features numerous code samples throughout Includes companion files with source code and figures
Book Synopsis Python for TensorFlow Pocket Primer by : Oswald Campesato
Download or read book Python for TensorFlow Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2019-05-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing [email protected]. Features: A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators Assumes the reader has very limited experience Companion files with all of the source code examples (download from the publisher)
Book Synopsis Python 3 and Data Analytics Pocket Primer by : Oswald Campesato
Download or read book Python 3 and Data Analytics Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2021-03-19 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at [email protected]. FEATURES: Includes a concise introduction to Python 3 Provides a thorough introduction to data and data cleaning Covers NumPy and Pandas Introduces statistical concepts and data visualization (Matplotlib/Seaborn) Features an appendix on regular expressions Includes companion files with source code and figures
Book Synopsis Angular and Machine Learning Pocket Primer by : Oswald Campesato
Download or read book Angular and Machine Learning Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2020-03-27 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher. Features: Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures
Book Synopsis SQL Pocket Primer by : Oswald Campesato
Download or read book SQL Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-03-09 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as the primary RDBMS. It includes Python-based code samples to access data from a MySQL table in a Pandas data frame and Java-based code samples for accessing data in a MySQL database, along with XML documents and JSON documents. The book also introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices. The final chapter of the book covers a diverse set of miscellaneous topics, such as normalization, schemas, database optimization, and performance. Numerous code samples and listings are included to support myriad topics. Companion files with source code and figures are available from the publisher. FEATURES: Covers extensive topics related to SQL, using MySQL as the primary RDBMS Introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices Features companion files with source code and figures from the book
Book Synopsis Regular Expressions by : Oswald Campesato
Download or read book Regular Expressions written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2018-06-04 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher. Features: • Uses REs with Python, R, bash, Java, and more • Packed with realistic examples and numerous commands • Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks • Includes companion files with all of the source code examples (download from the publisher) ON THE COMPANION FILES (available from the publisher for downloading) • Source code samples
Download or read book Data Cleaning written by Venkatesh Ganti and published by Morgan & Claypool Publishers. This book was released on 2013-09-01 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often need to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.
Book Synopsis Linux Shell Programming Pocket Primer by : Oswald Campesato
Download or read book Linux Shell Programming Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2023-06-12 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other forms of shell scripting (ksh, sh, csh), including the concept of piping data between commands, regular expression substitution and the sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shell scripts. FEATURES: Covers extensive topics, code samples, and scripting utilities Includes material on piping data between commands, regular expression substitution, cleaning datasets, and the sed and awk commands Features companion files with code samples from the book (available for downloading from the publisher)
Book Synopsis Working with grep, sed, and awk Pocket Primer by : OSWALD CAMPESATO
Download or read book Working with grep, sed, and awk Pocket Primer written by OSWALD CAMPESATO and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to introduce readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks. The code samples and scripts use the bash shell, and typically involve very small text files so that you can focus on understanding the features of grep, sed, and awk. In the simplest terms, grep (global regular expression print) will search input files in data for certain words or word patterns and print the lines that match it. sed is useful for changing or modifying data. Awk is a programming language also used for searching a data file for certain patterns, but can also perform certain tasks on the pattern matches it finds. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with these command line utilities.
Book Synopsis Bash Command Line and Shell Scripts Pocket Primer by : Oswald Campesato
Download or read book Bash Command Line and Shell Scripts Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2020-05-28 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce readers to an assortment of useful command-line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other command shells (such as sh, ksh, zsh, and csh), including the concept of piping data between commands and the highly versatile sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new techniques to those who already have some experience with creating shell scripts. It contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. Includes companion files with all of the source code examples (download from the publisher by writing to [email protected]). Features: Takes introductory concepts and commands in bash, and then demonstrates their uses in simple, yet powerful shell scripts Contains an assortment of shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files Includes companion files with all of the source code examples (available for download from the publisher)
Book Synopsis Artificial Intelligence, Machine Learning, and Deep Learning by : Oswald Campesato
Download or read book Artificial Intelligence, Machine Learning, and Deep Learning written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2020-01-23 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas
Book Synopsis Angular 4 Pocket Primer by : Oswald Campesato
Download or read book Angular 4 Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2017-08-16 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Angular 4. It has coverage of the fundamental aspects of Angular that are illustrated via numerous code samples. This Pocket Primer is primarily for self-directed learners who want to learn Angular 4 programming, and it serves as a starting point for deeper exploration of its numerous applications. A companion disc (also available for downloading from the publisher) with source code and color images is included. FEATURES • Contains latest material on Angular 4, graphics/animation, mobile apps, • Includes companion files with all of the source code and images from the book • Provides coverage of the fundamental aspects of Angular4 that are illustrated via code samples BRIEF TABLE OF CONTENTS 1. A Quick Introduction to Angular. 2. UI Controls and User Input. 3. Graphics and Animation. 4. HTTP Requests and Routing. 5. Forms, Pipes, and Services. 6. Angular and Express. 7. Flux, Redux, GraphQL, Apollo, and Relay. 8. Angular and Mobile Apps. 9. Functional Reactive Programming. 10. Miscellaneous Topics. Index. ON THE COMPANION FILES! • Hundreds of source code samples • All images from the text (including 4-color) eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].
Book Synopsis Practical Data Cleaning by : Lee Baker
Download or read book Practical Data Cleaning written by Lee Baker and published by Lee Baker. This book was released on 2019-01-30 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data cleaning is a waste of time. If the data had been collected properly in the first place there wouldn’t be any cleaning to do, and you wouldn’t now be faced with the prospect of weeks of cleaning to get your dataset analysis-ready. Worse still, your boss won’t understand why your analysis report isn’t on his desk yet, a mere 48 hours after he’s asked for it. Bless him, he doesn’t understand – he thinks that cleaning data is just about clicking a few buttons in Excel and – ta da! – it’s all done. Even a monkey can do that, right? And – for good reason – you won’t get any help from statistics books either. Data is messy and cleaning it can be difficult, time-consuming and costly. Not to mention it’s the least sexy thing you can do with a dataset. Yet you’ve still got to do it, because, well, someone has to… But it doesn’t have to be so difficult. If you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective. Not to mention fun! Well, not fun exactly, just not quite as coma-inducing. Practical Data Cleaning (now in its 5th Edition!) explains the 19 most important tips about data cleaning with a focus on understanding your data, how to work with it, choose the right ways to analyse it, select the correct tools and how to interpret the results to get your data clean in double quick time. Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners! Discover how to clean your data quickly and effectively. Get this book, TODAY!
Book Synopsis C Programming Pocket Primer by : Oswald Campesato
Download or read book C Programming Pocket Primer written by Oswald Campesato and published by Pocket Primer. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the Pocket Primer series, this book provides an overviewof the major concepts to program in the language of C. Companion files withsource code from the book and figures are included. FEATURES: Provides an overview of the most important Cprogramming techniques Covers up-to-dateinformation regarding the C11 standard Includes two chapters on pointers Contains companion files with source code fromthe book eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].
