Learning Bootstrap 4 by Building ProjectsBootstrap, the world's most popular frontend framework, is an open source toolkit for building web applications with HTML, CSS, and JavaScript.
Learning Bootstrap 4 by Building Projects covers the essentials of Bootstrap 4 along with best practices. The book begins by introducing you to the latest features of Bootstrap 4. You will learn different elements and components of Bootstrap, such as the strict grid system, Sass, which replaced Less, flexbox, Font Awesome, and cards. As you make your way through the chapters, you will use a template that will help you to build different kinds of real-world websites, such as a social media website, a company landing page, a media hosting website, and a profile page, with ease.
By the end of this book, you will have built websites that are visually appealing, responsive, and robust. ...
Python Artificial Intelligence Projects for BeginnersArtificial Intelligence (AI) is the newest technology that's being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence.
This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library.
By the end of this book, you will be ...
Modern Scala ProjectsScala, together with the Spark Framework, forms a rich and powerful data processing ecosystem. Modern Scala Projects is a journey into the depths of this ecosystem. The machine learning (ML) projects presented in this book enable you to create practical, robust data analytics solutions, with an emphasis on automating data workflows with the Spark ML pipeline API. This book showcases or carefully cherry-picks from Scala's functional libraries and other constructs to help readers roll out their own scalable data processing frameworks. The projects in this book enable data practitioners across all industries gain insights into data that will help organizations have strategic and competitive advantage.
Modern Scala Projects focuses on the application of supervisory learning ML techniques that classify data and make predictions. You'll begin with working on a project to predict a class of flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosi ...
Hands-On Agile Software Development with JIRAAs teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.
This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development. ...
Unity 2018 By Example, 2nd EditionUnity is the most exciting and popular engine used for developing games. With its 2018 release, Unity has become the primary source of both game development and virtual reality content.
In Unity 2018 By Example, you'll learn how to use Unity in order to make amazing games from popular genres - from action shooters to mind-bending puzzle games to adventure and Virtual Reality (VR) games. Even if you have no previous experience of using Unity, this book will help you understand the toolsets it provides in depth. In addition to this, you'll understand how to create time-critical collection games, twin-stick space shooters, platformers, and action-fest games with intelligent enemies. Finally, you'll get to grips with creating VR games with the new toolsets introduced by Unity to help you develop amazing VR experiences.
To make things easier, you will be provided with step-by-step tutorials for making five great games in Unity 2018, along with a detailed explanation of all the fundame ...
Voice User Interface ProjectsFrom touchscreen and mouse-click, we are moving to voice- and conversation-based user interfaces. By adopting Voice User Interfaces (VUIs), you can create a more compelling and engaging experience for your users. Voice User Interface Projects teaches you how to develop voice-enabled applications for desktop, mobile, and Internet of Things (IoT) devices.
This book explains in detail VUI and its importance, basic design principles of VUI, fundamentals of conversation, and the different voice-enabled applications available in the market. You will learn how to build your first voice-enabled application by utilizing DialogFlow and Alexa's natural language processing (NLP) platform. Once you are comfortable with building voice-enabled applications, you will understand how to dynamically process and respond to the questions by using NodeJS server deployed to the cloud. You will then move on to securing NodeJS RESTful API for DialogFlow and Alexa webhooks, creating unit tests and building v ...
Practical GameMaker ProjectsMake ten simple, casual games, and learn a ton of GML coding along the way. Each of these games is the kind you can play when you have a minute or two free, and are great for playing on your PC, or exported to HTML5 or Android.
Each game in Practical GameMaker Projects has its own chapter that explains the process of making each game, along with sketches, screenshots, coding, explanations, and tips. For each game there is a YYZ project file of the completed game that is ready to load and play. Also, all resources are available so you can make the game as you follow along in the book.
Each chapter has an introduction that explains what the aim of the game is, followed by a design and coding section which will cover the coding of the game. You're free to re-use code in your own projects, both free and paid.
At the end of each chapter there is a things-to-try page that gives you five things to add to the game to improve its playability or appearance - pushing you a little ...
10 LED Projects for Geeks10 LED Projects for Geeks is a collection of interactive and customizable projects that all have the humble LED in common, but don't write them off as basic! You'll learn how to make challenging and imaginative gadgets like a magic wand that controls lights using hand gestures, a pen-sized controller for music synthesizers, a light strip that dances to the beat of music, and even an LED sash that flashes scrolling text you send from your phone.
Every project includes photos, step-by-step directions, colorful circuit diagrams, and the complete code to bring the project to life. As you work your way through the book, you'll pick up adaptable skills that will take your making abilities to the next level.
Design versatile circuits for your own needs; Build and print a custom printed circuit board; Create flexible circuits which you can use to make any wearable you dream up; Turn analog signal into digital data your microcontroller can read; Use gesture recognition and ...
C# Machine Learning ProjectsMachine learning is applied in almost all kinds of real-world surroundings and industries, right from medicine to advertising; from finance to scientifc research. This book will help you learn how to choose a model for your problem, how to evaluate the performance of your models, and how you can use C# to build machine learning models for your future projects.
You will get an overview of the machine learning systems and how you, as a C# and .NET developer, can apply your existing knowledge to the wide gamut of intelligent applications, all through a project-based approach. You will start by setting up your C# environment for machine learning with the required packages, Accord.NET, LiveCharts, and Deedle. We will then take you right from building classifcation models for spam email fltering and applying NLP techniques to Twitter sentiment analysis, to time-series and regression analysis for forecasting foreign exchange rates and house prices, as well as drawing insights on customer s ...
Coding the ArduinoGet started with Arduino and computer coding. This book is intended for those new to the Arduino and computer coding. and looking to gain the skills to write microcontroller programs that can act on given inputs and operate electromechanical output devices.
Coding the Arduino contains four sections: background information, game development, electronic games and projects, and expanded programs. The final chapters expand on the functionality of some of the programs presented in previous chapters, and challenges you with capstone projects.
The projects will be described where the program code that is presented can be modified, or in which two or more of the sample programs may be used to synthesize a new program as the solution to the problem that is presented. Additionally, review questions are presented at the end of each chapter to test your comprehension of the material.
Understand basic principles of technology, and about analog and digital electronics; Create games from scr ...
Java Deep Learning ProjectsJava is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.
Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines.
You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments.
You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expe ...