Category: Tech & Devices

Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python by Thomas Miller (FT Press Analytics)
Requirements: .ePUB reader, 34 mb
Overview: Now, a leader of Northwestern University’s prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.

Building on Miller’s pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis.

Starting where Miller’s widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming.
Genre: Non-Fiction > Tech & Devices



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Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science by Thomas Miller (FT Press Analytics)
Requirements: .ePUB reader, 54 mb
Overview: This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R―not complex math.

Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work―and maximize their value.

Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code.

If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more.

Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage.

Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have.

Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data.

You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights.

You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods.
Genre: Non-Fiction > Tech & Devices



Use Python and R to gain powerful, actionable, profitable insights about:
• Advertising and promotion
• Consumer preference and choice
• Market baskets and related purchases
• Economic forecasting
• Operations management
• Unstructured text and language
• Customer sentiment
• Brand and price
• Sports team performance
And much more

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Captain Code: Unleash Your Coding Superpower with Python by Ben Forta, Shmuel Forta
Requirements: .ePUB reader, 46 mb
Overview: Becoming a coder is all fun and games!

Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it’s a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it’s fun to spend hours on your phone looking at what other people have created; but that’s nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun!

And if that weren’t enough, when you learn to code you develop all sorts of invaluable skills and traits beyond just coding. These include planning, problem solving, communication, logic, empathy, attention to detail, patience, resilience, persistence, and creativity. And it turns out that these skills (especially creativity and creative problem solving) are some of the most in-demand out there. So, coding will help your future career, too, regardless of what that career may be.

But, where to start?

Captain Code is a welcoming, engaging, and fun introduction to becoming a coder, designed for the young (ages 10-17) and young-at-heart. Experienced educators and coders Ben & Shmuel Forta will guide you using Python, one of the most popular programming languages in the world. You’ll learn by creating games, yes, games, from simple projects to retro text-based adventures to complete graphical arcade style games. Captain Code is 400 glossy color pages of goodness packed with welcoming images, useful tips and tidbits, and engaging, readable text that focuses on doing while having fun. All code listings are in full-color and QR codes link to bonus content, downloads, challenge solutions, and more.

Captain Code makes coding exciting and rewarding, as it prepares a new generation to take their next steps forwardin education, careers, or both.

So, are you ready to unleash your coding superpower and become Captain Code?
Genre: Non-Fiction > Tech & Devices



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MySQL Crash Course, 2nd Edition by Ben Forta
Requirements: .PDF reader, 10 MB
Overview: MySQL is one of the most popular database management systems available, powering everything from Internet powerhouses to individual corporate databases to simple end-user applications, and everything in between. This book will teach you all you need to know to be immediately productive with the latest version of MySQL. By working through 30 highly focused hands-on lessons, your MySQL Crash Course will be both easier and more effective than you’d have thought possible. MySQL is a DBMS; that is, it is database software. MySQL has been around for a long time, and it is now installed and in use at millions of installations worldwide. Why do so many organizations and developers use MySQL? Here are some of the reasons: MySQL is open source, and it is usually free to use and even modify the software; MySQL is fast—make that very fast; MySQL is used by some of the most important and prestigious organizations and sites, all of which entrust it with their critical data. MySQL is easy to install and get up and running. In fact, historically the only real criticism of MySQL has been that it has not always supported the functionality and features offered by other DBMSs. But as new features have been added to each new version, that has changed, and it continues to do so.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://ouo.io/dcG8e4F
https://ouo.io/oQs9gO
https://rapidgator.net/file/dd562f676f5 … l.rar.html.

Data Analytics and Machine Learning: Navigating the Big Data Landscape by Pushpa Singh, Asha Rani Mishra, Payal Garg
Requirements: .PDF reader, 10.7 MB
Overview: This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, Big Data, and Machine Learning solutions in their own organizations. The book discusses the transformative power of data analytics and Big Data in various industries and sectors and how Machine Learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how Big Data explosion, the power of analytics and Machine Learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, Big Data, and Machine Learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data. The study is done using a popular statistical tool named R programming.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://ouo.io/3UlOL3
https://ouo.io/KwZW5K
https://rapidgator.net/file/faeba2a3a8a … g.pdf.html.