Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python

Stefanie Molin

Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value.Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.

Microsoft Dynamics GP 2013 Reporting. Microsoft Dynamics GP lets you take control of creating and managing reports, and this guide shows you exactly how. Written by practical experts with business consultancy backgrounds, the book combines clarity with thoroughness

Chris Liley, David Duncan

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning.The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books:[*]Java for Data Science[*]Machine Learning in Java [*]Mastering Java Machine LearningOn completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence.

Managing Data Science. Effective strategies to manage data science projects and build a sustainable team

Kirill Dubovikov

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.

Unity Virtual Reality Projects. Learn Virtual Reality by developing more than 10 engaging projects with Unity 2018 - Second Edition

Jonathan Linowes

Unity has become the leading platform for building virtual reality games, applications, and experiences for this new generation of consumer VR devices. Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using the Unity game engine to develop VR applications. With its practical and project-based approach, this book will get you up to speed with the specifics of VR development in Unity. You will learn how to use Unity to develop VR applications that can be experienced with devices such as Oculus, Daydream, and Vive. Among the many topics and projects, you will explore gaze-based versus hand-controller input, world space UI canvases, locomotion and teleportation, software design patterns, 360-degree media, timeline animation, and multiplayer networking. You will learn about the Unity 3D game engine via the interactive Unity Editor, and you will also learn about C# programming. By the end of the book, you will be fully equipped to develop rich, interactive VR experiences using Unity.

The MVVM Pattern in .NET MAUI. The definitive guide to essential patterns, best practices, and techniques for cross-platform app development

Pieter Nijs, David Ortinau

In today's fast-paced world of modern software development, teams need to be efficient, productive, and capable of rapidly adapting to changes to deliver high-quality products, making it crucial for developers to write maintainable and easy-to-test code.The MVVM Pattern in .NET MAUI helps you to thoroughly explore the Model-View-View Model (MVVM) design pattern. The chapters show you how this pattern helps in structuring code to embrace the separation of concerns, allowing for loosely coupled user interface and application logic, which ultimately empowers you to write more robust, maintainable, and testable code. The book also highlights .NET MAUI's capabilities and features, and enables you to delve into the essential components within the framework that facilitate the application of the MVVM pattern. With the help of a sample application, this definitive guide takes a hands-on approach to walk you through both the essential and advanced usages of the MVVM pattern to ensure that you successfully apply the practical aspects of the pattern to your .NET MAUI projects.By the end of this book, you’ll have gained a comprehensive understanding of the MVVM design pattern and its relevance in the context of .NET MAUI, as well as developed the skills needed to successfully apply it in practice.

Scaling Apache Solr. Optimize your searches using high-performance enterprise search repositories with Apache Solr

Hrishikesh Vijay Karambelkar

Creating Templates with Artisteer. Why pay for a professional website when you can do it yourself with this hands-on guide to Artisteer? With no need for HTML, web-programming, or drawing skills, this book is all you require to create fantastic CMS templates

Jakub Sanecki

Designing good looking, professional quality web templates or building your own website are rather complicated tasks, demanding a lot of technical and graphical expertise. Artisteer has changed this situation, enabling you to do it by yourself, without the need to learn skills such as HTML, web-programming languages, or drawing.Creating stunning Templates with Artisteer is a practical, step-by-step guide that will show you how you can prepare an elegant, professional looking website, on your own, using features of Artisteer. It also describes the process of designing templates for various popular CMS platforms like WordPress or Joomla!, by giving you practical hints, showing how to install those templates and how to import the content into CMS. Creating stunning Templates with Artisteer leads you through the process of designing a website, including all standard layout elements, from header to the footer, including menus and special boxes. You will learn how to prepare the templates, store them and export them in the form of ready-to-use HTML pages or packages that can be installed in various CMS platforms such as WordPress, Joomla!, Drupal, or DotNetNuke. The last part of the book shows you some tips and tricks that allow you to extend standard themes generated by Artisteer for enriching the website with image gallery, combining two menus, and more.You will learn how to create a professional quality website or CMS template on your own, with the use of Artisteer with minimal technical difficulties.