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[100% OFF] The Complete Typescript for Beginners From Zero To Hero 2020 Free

Every other course online teaches you the basic syntax and features of Typescript, but only this course will show you how to apply Typescript on real projects, instructing you how to build large, successful projects through example. Typescript is a 'super-set' of Javascript. That means that if you already know Javascript, you are ready to take this course. Typescript adds in several important features to Javascript, including a type system. This type system is designed to help you catch errors during development, rather than when you are running your code. That means you'll be twice as productive by catching bugs earlier in development. But besides the type system, Typescript also provides several tools for structuring large codebases and writing truly reusable code. ES6 is the 6th edition, officially known as ECMAScript 2015, and was finalised in June 2015. ES6 adds significant new syntax for writing complex applications, including classes and modules, but defines them semantically in the same terms as ECMAScript 5 strict mode. Browser support for ES6 is still incomplete. However, ES6 code can be transpiled into ES5 code, which has more consistent support across browsers. Typescript is a superset of Javascript that compiles to plain Javascript. It is also the main language used for Angular 2. ES6 | ES2015 | Typescript | ES6 Tutorial | ES2015 Tutorial | Typescript Tutorial | ES6 Tutorial for Beginners | ES2015 Tutorial for Beginners | Typescript tutorial for Beginners

[100% OFF] The Self-Taught Programmer

The Definitive Guide to Programming Professionally
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[100% OFF] The Complete Guide Angular 8 for Java Developers 2020 Free

Angular is a TypeScript-based open-source front-en... Mored web application platform led by the Angular Team at Google and by a community of individuals and corporations to address all of the parts of the developer's workflow while building complex web applications. Angular is a complete rewrite from the same team that built AngularJS. Angular is a framework for building client applications in HTML and either JavaScript or a language like TypeScript that compiles to JavaScript. Angular combines declarative templates, dependency injection, end to end tooling, and integrated best practices to solve development challenges. Angular empowers developers to build applications that live on the web, mobile, or the desktop. This course is for existing Java developers who want to learn the popular Angular framework for developing front-end Web interfaces. In the course we cover all of the main principles of building websites in Angular, including the Typescript Language. This is taught with reference to Java and Java web technology examples, making it a very quick and easy way for Java developers to upgrade their skills to Angular. No prior knowledge of Javascript or Typescript is needed, although some basic HTML is useful. Who this course is for: web developers, .net developers, java developers, python developers Less
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[100% OFF] The Complete Python 3 Course: Beginner to Advanced! Free

If you want to get started programming in Python, ... Moreyou are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more! We are grateful for the great feedback we have received! "This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!" "Good course even for non-programmers too." "It's really well explained, clear. Not too slow, not too fast." "Very thorough, quick pace. I'm learning A TON! Thank you :)" "Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!" The following topics are covered in this course: Programming Basics Python Fundamentals JavaScript Object Notation (JSON) Web Scraping PyMongo (MongoDB) Web Development Django Web Framework Graphical User Interface (GUI) Programming (PyQt) Data Visualization Machine Learning This course is fully subtitled in English! Thank you for taking the time to read this and we hope to see you in the course! Who this course is for: This course was designed for students with little to no programming experience Developers familiar with Python can take their knowledge to the next level! Students who go through the course can expect to walk away with a comprehensive understanding of Python Less
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[10$] Cloud Computing for Machine Learning

Build and Deploy Machine Learning programs on the cloud
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[100% OFF] Ultimate Hands-On English Phrasal Verb Guide: Spoken+Written Free

If you want to be fluent in English and sound nati... Moreve, you need to know phrasal verbs well. There's a ton of information on them, but it's all in tiny pieces spread across grammar books, dictionaries, and various websites. I spent a year putting this information together and building this course to make phrasal verbs as easy to understand as physically possible. By taking this course you'll save tons of time and the frustration involved in digging for bits and pieces of necessary information. This course breaks down what phrasal verbs are, why they matter, what kinds of phrasal verbs exist, and what is the best way to learn them. You will learn 10 of the 1.5% most common phrasal verbs in the English language: what they are, which of their meanings are the most/least common (with the % of their usage and examples), and a variety of exercises to help you cement them in your memory. This course will give you the NECESSARY knowledge to transform your "good English" into "native English" - as long as you follow all recommendations and do all the exercises provided. Note that the theoretical part (video) of the course is 40 minutes long, but the activities section is expected to take 5-6 hours. This is because I have created custom exercises for you to practice what is taught in the video. Who this course is for: Pre-Intermediate (or higher) English learners who want to think and speak more naturally. Students trying to write better university papers in English. People that have/are looking for a job that requires English. People who deal with English on a daily basis. People that know that their English is not perfect and there’s space for improvement. People that know that their English is almost perfect and there’s a tiny bit of space for improvement. ;) People that struggle to understand native speakers. Less
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[100% OFF] The Complete 2020 PHP Full Stack Web Developer Bootcamp Free

Do you want to be a Certified Web Developer? or... More Are you are a student and want to get a Job as Web Developer? or Do you want be Freelancer to earn an extra part time income? or You want to improve your Web Development Skills at Work? If these are your goals then this course is exactly made for you to Become PHP Full Stack Web Developer! 48+ hours of course content with Exercises, Quiz, Assignments and Projects. If you give your valuable time to this course and I will promise to help you achieve your goal. RIGHT AFTER THIS COURSE, YOU WILL BE: Able to Build websites. Get a job as a junior web developer. Start your own online business with WordPress. Become Freelancer Web developer on Fiverr or UpWork. Be proficient with databases and server-side languages with PHP and MySQL. Become a front-end and Back-end developer - Complete Full Stack Developer. In less than 30 days, you'll be ready for an entry-level job as a Full Stack Web Developer. This course will give you the following Skills: Front End Web Development: HTML. CSS. JAVASCRIPT. BOOTSTRAP. Back End Web Development: PHP. MYSQL. WORDPRESS. PHP OOP. BASICS: WEB BASICS. INTRODUCTION TO XML. COMPLETE UNDERSTANDING OF JSON. INTRODUCTION TO REST AND API. SOFT SKILLS: INTERVIEW QUESTIONS. PHP RESUME. STUDENT MENTORSHIP. PROJECTS: PHPKart - Complete Shopping Cart Website using HTML, CSS, JAVASCRIPT, PHP and MySQL. LearnWP.xyz - Blogging Website with WordPress. (Buy Domain, Web Hosting, Installing Themes and etc...) CERTIFICATION PROVIDED: Get your PHP Full Stack Developer Certification. VALUABLE RESOURCES: You will become PHP Full Stack Web Developer: 48+ hours of course. - Worth $199 You will be Certified PHP Full Stack Web Developer - Worth $399 Complete Source Code and Projects: PHPKart & LearnWP.xyz - Worth $299 Student Mentorship via Private Facebook Group. - Worth $219 PHP Projects Downloads. - Worth $129 Resume and Interview Questions. - Worth $79 Lifetime Documentation Site Access - Worth $29.90 30 Days Money Back Policy. Total Worth: $1353 FEEDBACK FROM STUDENTS: -> Amazing, above expectations! - Adeel Nazim -> I think , someone who wants to learn php , should start with this course.Great content , so much valuable info in this course , thank you!! - Andreas -> good course with lot of examples. this is the best course in PHP - Murali Krishna Nistala -> This course is very good introduction to PHP. Many examples and every lection has a test and a quiz. - Milan Švarc -> Very easy to understand, lots of examples. Repeats important points in different ways making difficult concepts easier to grasp. - Laura Long -> A well organized course, explained each and every concept in very easy way, now feeling confident while using PHP oop.- Wasim Tamboli -> This course is a easy to learn. and your teaching way is awesome. - Bharat Kumar -> He is explaining the concepts crystal clear . Very thankfull to the teacher - Ponmurali Jeyaprakasam -> Very easy to understand and the best part is there are too many assignments for working which makes u perfect - Gokul Singh Do not miss the Premium Contents with this course: 48+ hours of Full Stack Web Development Course. One Course Covers - 12 Courses: HTML, CSS, JAVASCRIPT, BOOTSTRAP, PHP, MYSQL, PHP OOP, WORDPRESS, XML, API, JSON and REST. 6 Web Development Books for FREE. (1200+ pages long) - Selling for $20 on Amazon Lifetime FREE Access to Premium Bootcamp Documentation Website. - Sold monthly membership PHPKart and LearnWP Website Source Code. - Sold my source code for each $299 Interview Questions (1000+ questions) - Selling for $20 on Amazon 30 days Money Back Guarantee (0% Risk) 100% FREE for Lifetime Access. IF YOU ARE REALLY SERIOUS TO LEARN WEB DEVELOPMENT AND LOOKING FOR THE RIGHT COURSE... THEN THIS IS THE BEST COURSE THAT CAN HELP YOU ACHIEVE YOUR GOAL.. BELIEVE ME, YOU ARE JUST ONE COURSE AWAY FROM BECOMING BRILLIANT WEB DEVELOPER.... Who this course is for: Anyone who wants to learn to code Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Less
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[100% OFF] Decision Trees, Random Forests, AdaBoost & XGBoost in Python Free

You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right? You've found the right Decision Trees and tree based advanced techniques course! After completing this course you will be able to: Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning. Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result. Confidently practice, discuss and understand Machine Learning concepts How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through Decision tree. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Linear Regression: Section 1 - Introduction to Machine Learning In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. Section 2 - Python basic This section gets you started with Python. This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn. Section 3 - Pre-processing and Simple Decision trees In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree. Section 4 - Simple Classification Tree This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python Section 5, 6 and 7 - Ensemble technique In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost. By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use Python for data Machine Learning? Understanding Python is one of the valuable skills needed for a career in Machine Learning. Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time Less
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[100% OFF] Web Development Masterclass - Complete Certificate Course Free

This course offers a comprehensive look into the e... Morentire web development process - from local server configuration using WAMP and MAMP (Apache, MySQL, PHP) to production deployment using the latest web technologies including: LAMP Stack (Linux, Apache, PHP and MySQL) for Ubuntu, HTML5, CSS, Bootstrap, JavaScript, jQuery, XML, and AJAX. The content is ideal for those interested in working as a web developer, launching a web application, or devoted enthusiasts. The concepts explored in this course are suitable for individuals of all skill levels. Each module starts with the fundamental concepts and gradually transitions into more advanced material. What makes this course unique? This course is specifically intended to teach students to develop web applications using the most efficient methods and the latest web technologies. Through live demonstrations we teach the importance of using scalable cloud hosting infrastructures during the development process. This includes small informational websites of only a few pages to advanced 'big data' style, dynamic web applications. We go through several live examples of web development and Linux based server configurations on popular Cloud hosting providers such as Linode. Section 1 & 2 (Introduction, How the Internet Works) The course begins with with an overview of learning objectives. We then explore how the internet works, including the composition and transmission of data packets over both local and wide-area Networks. Next we take a look at the HTTP and HTTPS protocols as applicable to client and server side communications - including DNS Lookups. This section will also teach students how email exchange works over SMTP and IMAP. The role of Network Ports and Firewalls are also introduced. Section 3, 4: (The Web Development Process, Planning a Website) Students will gain an understanding of all the steps involved in the web development process. Section 5: Web Hosting and System Requirements We conduct an in-depth case analysis of web hosting solutions including: Shared, Virtual Private, Dedicated and Cloud Hosting. We provide an overview of various packages offered by different web hosting companies and weigh the pros and cons of each one. Students are also introduced to the importance of web server scalability and the advantages of cloud hosting over traditional hosting services. We also examine the infrastructure requirements of popular, resource intensive applications such as Netflix and Facebook to emphasize the importance of avoiding costly mistakes in the initial stages of development. Section 6: Domain Names We provide an overview of the domain name registration process. This includes the role of registrars and TLD (Top Level Domain) administration by ICANN. ccTLD's (Country Code Top Level Domains) are also explored. Students gain hands-on experience with the registration process using popular domain registrars. We provide a comparison of different registrars and register a sample domain name using GoDaddy. Other topics of discussion include: domain name privacy and administration, auto-renewal, domain forwarding, and name server assignment. Section 7: Testing Environment Students are introduced to configuring a local testing server on a PC or MAC system using WAMP (Windows) or MAMP (MAC). The lessons provide a detailed guide on installation of the packages and an overview of the interface. Section 8: Production Environment Students acquire the skills needed to optimally configure a live production environment for securely hosting web applications on a cloud server (Linode). The section starts with an overview of different cloud hosting providers such as Amazon Web Services, Microsoft Azure, Linode and Digital Ocean. We then provide a live demonstration of server setup using Linode. This includes deployment of Ubuntu and installation of LAMP Stack (Linux) on the Linode Server using remote access consoles such as Terminal (MAC) and PuTTY for Windows. Students gain an in-depth knowledge of server maintenance, file and directory commands. We also explore SSH Authentication for multiple users and file permissions to reduce security vulnerabilities. Remote Desktop connections for server administration are taught, using Tight VNC (Windows) and RealVNC (MAC). A thorough overview of the Linode server management console is conducted, to show students how to scale servers, change root passwords, manage the DNS Zone file and create back-ups. Section 9: FTP Setup Students learn the role of an FTP (File Transfer Protocol) client to connect to a remote server, through a local machine. We provide a live demonstration on file upload using FileZilla and explore the FileZilla Interface for connection management. Section 10: HTML Development This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch. Section 11: CSS Development Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson. Section 12: Document Object Model (DOM) As a precursor to JavaScript, we explore the DOM (Document Object Model). We explain its usage and application in manipulating HTML and CSS elements. Section 13: JavaScript Development We introduce students to JavaScript coding to add interactivity to static HTML and CSS pages. The section starts with discussing JavaScript placement, using both internal and external scripts. We then take a look at JavaScript output, variable declarations, arithmetic operators, objects, strings, math functions, arrays, conditional statements, loops, functions and events. Students also go through two hands-on projects that will further solidify their knowledge of the concepts explored in the lessons. Section 14: JQuery Library We explore the jQuery library and many of its unique features, used to create stunning, animated web pages. We start with the basics, from embedding jQuery into web pages to working with Selectors. Students then explore working with events, toggling, fading, sliding, and other forms of animation. The lessons also teach students how to work with callbacks, chaining, dragables, accordion menus and many other functions. Section 15: Bootstrap Framework Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility. Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more. Section 16: PHP Development Students gain exposure to creating dynamic web applications and functionality using PHP. We start with the basics, including variable declaration and data output. The lessons then transition into working with objects, conditional statements, loops, functions, arrays and form validation. Section 17: MySQL Database Integration Students learn to unleash the true power of web application development with MySQL database integration. We start with the basics from database and table creation, to user management. Next we explore the execution of commonly used SQL statements for database modification and administration. Students are also taught how to create database connections and execute SQL statements from PHP scripts. Section 18, 19 (XML, AJAX, & Development) We explore XML and AJAX integration to create dynamic content, without page refresh. The lessons cover several hands-on training exercises that will encompass many of the exciting functions AJAX offers. Students will build a website complete with database integration, registration forms with server-side validation, user authentication, and a SMTP-based contact submit form. Section 20: Google Apps for Work Students learn to create a customized business email address using Google Apps for Work. Email administration is also explored, along with alias creation. Less
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[100% OFF] Image Recognition using CNN: Keras & TensorFlow in R Studio Free

You're looking for a complete Convolutional Neural... More Network (CNN) course that teaches you everything you need to create a Image Recognition model in R, right? You've found the right Convolutional Neural Networks course! After completing this course you will be able to: Identify the Image Recognition problems which can be solved using CNN Models. Create CNN models in R using Keras and Tensorflow libraries and analyze their results. Confidently practice, discuss and understand Deep Learning concepts Have a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course. If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in R without getting too Mathematical. Why should you choose this course? This course covers all the steps that one should take to create an image recognition model using Convolutional Neural Networks. Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 300,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems. Below are the course contents of this course on ANN: Part 1 (Section 2)- Setting up R and R Studio with R crash course This part gets you started with R. This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. Part 2 (Section 3-6) - ANN Theoretical Concepts This part will give you a solid understanding of concepts involved in Neural Networks. In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 (Section 7-11) - Creating ANN model in R In this part you will learn how to create ANN models in R. We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. Lastly we learn how to save and restore models. We also understand the importance of libraries such as Keras and TensorFlow in this part. Part 4 (Section 12) - CNN Theoretical Concepts In this part you will learn about convolutional and pooling layers which are the building blocks of CNN models. In this section, we will start with the basic theory of convolutional layer, stride, filters and feature maps. We also explain how gray-scale images are different from colored images. Lastly we discuss pooling layer which bring computational efficiency in our model. Part 5 (Section 13-14) - Creating CNN model in R In this part you will learn how to create CNN models in R. We will take the same problem of recognizing fashion objects and apply CNN model to it. We will compare the performance of our CNN model with our ANN model and notice that the accuracy increases by 9-10% when we use CNN. However, this is not the end of it. We can further improve accuracy by using certain techniques which we explore in the next part. Part 6 (Section 15-18) - End-to-End Image Recognition project in R In this section we build a complete image recognition project on colored images. We take a Kaggle image recognition competition and build CNN model to solve it. With a simple model we achieve nearly 70% accuracy on test set. Then we learn concepts like Data Augmentation and Transfer Learning which help us improve accuracy level from 70% to nearly 97% (as good as the winners of that competition). By the end of this course, your confidence in creating a Convolutional Neural Network model in R will soar. You'll have a thorough understanding of how to use CNN to create predictive models and solve image recognition problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below are some popular FAQs of students who want to start their Deep learning journey- Why use R for Deep Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R 1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Deep Learning journey Anyone curious to master image recognition from Beginner level in short span of time Less
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[100% OFF] The Complete AngularJS Authentication 2020 | Certified Free

Authentication for traditional web applications is... More fairly straight-forward: we send our credentials to the server, a session is created, and a cookie is returned to be saved in the browser. This method works well for round-trip applications, but it isn't a good way to do authentication in modern single page apps, like those built with AngularJS. In this course we are going to learn about the challenges associated with traditional authentication and how to use what is arguably the best alternative: the JSON Web Token. Using that knowledge, we'll implement authentication in an AngularJS app that makes calls to an Express API. We'll cover how to address all the challenges associated with keeping a single page application in check when it comes to stateless authentication. This can be a tricky matter since the front end and backend apps are effectively separated, but we'll find out how to leverage our user's JWT to address the challenges. We'll use Auth0 as an identity and authentication server so that we don't have to roll our own. Who this course is for: Anyone that wants to learn AngularJS Less
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[100% OFF] Projects in R: Learn R Creating Data Science Projects Free

R Programming Language is not an easy language to ... Morelearn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that you can do with R is just not enough – you require a complete breakdown of how to go about doing it. This is why we have designed this comprehensive project-based course! In this course, we attempt to break down this complex programming language and environment into an easy to follow structured tutorial that will help you not only understand this statistical language, but also become more familiar with how you can go about using it. R is a programming language and environment for statistical computing and graphics. It allows developers to work with a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc. Our course will help you go through a step by process of understanding how R can help you become a more efficient data miner, analyst and statistician. However, it won’t just list or show you how to do that. The instructor will lead you through real world projects that will show you exactly how you can do them, while urging you to follow all the projects along with the instructor. This project based course a great way for you to understand the fundamentals using a hands-on approach. No more confusing resources or boring theories, but rather you would actually get a hands on with the R Programming Language and environment. In this course, you would learn the fundamentals of R programming language, including the basic concepts such as lists, functions, arrays, vectors, matrices, strings, etc. There are five major aspects that you will learn in this course. 1. Practical approach to the R Programming – If you already have some background in R programming, or even have the knowledge, then this will help you gain a practical approach to R programming. 2. Learn Different Forms of Data Visualization – Visualizations of data has become a popular trend, as it makes the data more prominent and easier to understand. These include different types of visualizations such as bar graph, charts, heat map, etc. 3. Learn efficient ways to visualize data – Data should be efficient, especially if you are working with partial data. If the data is not efficient, the analysis would not be faulty and can be misunderstood. 4. Learn ways to manipulate data – Data isn’t always constant and it is often used to analyze past data and make future predictions. For this data is required to be manipulated to create predictions for multiple scenarios. 5. Learn to generate reports using R – Now we come to the most important stage of data mining and analysis. Here you will learn to generate effective reports that will help you put out a clean set of data analysis for consumption. Less
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[100% OFF] CISSP Master Class: Become A CISSP Today Free

In this CISSP Master Class: Become a CISSP Today .... More I will help you with all the knowledge you need to pass the CISSP Certification. Hi, I am Sagar Bansal, . I have helped hundreds of students to pass CISSP Exam within their first attempt. For me, It is a simple exam in English, you need to answer the Questions from (ISC)²'s point of view, in their perfect world. Understand and answer every question from a Manager or a Risk Advisers point of view, NOT from an executive or as a techie. Most hands-on techies that fail the CISSP exams do so because they answer from a point of being reactive, not being proactive. The CISSP exam is using the Computerized Adaptive Testing (CAT) format, and is 3 hour long and will have 100-150 questions. Most people studying for the CISSP certification will use multiple books, video courses, and 3-5000 practice questions before taking the exam, this really is the path to success. Who is the target audience? Anyone wanting lean more about the CISSP certification! People wanting to grow their IT Security and Cyber Security knowledge New and experienced IT Security professionals Anyone wanting to break into IT Security Basic knowledge Wanting to pass the Information Systems Security Professional (CISSP) Certification Exam Wanting to learn about management level IT Security and Cyber Security What will you learn Prepare for the latest version of the Information Systems Security Professional (CISSP) Certification Exam Learn why you want to get your CISSP certification, what it can give you Where to start on your CISSP certification journey Learn why you want to get your CISSP certification, what it can give you Understand IT Security and Cyber Security from a management level perspective Less
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136 used

[100% OFF] Agile Project Management 200+ Tools with Kanban Scrum Devops

Learn 200+ Tools of Agile + Scrum + Kanban + Lean ... More& more. Only Agile Course that includes DevOps & iCAN Certification Less
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113 used, 100% success rate

[100% OFF] Raspberry Pi meets Arduino Free

This is an advanced level course on Arduino. This ... Morecourse is designed for advanced makers. We’ll help you to get started with the basics of creating circuits with the Arduino and Arduino Mega prototyping board. We will show how a Raspberry Pi and Arduino can communicate with each other. By the end of this course, you would have built Security Systems and Access Control with Arduino using Keypad 4x4 and an Employee entry system using Arduino and RFID sensor. The prerequisite for this course is a basic understanding of electrical and electronic concepts and ability to download and install software on your computer. Along the way, you will learn about programming, sensors, and communications. The course split into three parts: Project 1: In this project, we will teach you how to communicate a message from the Arduino to the Raspberry Pi and vice-versa using a USB serial cable. Project 2: In this project, we teach you how to build an employee entry system using Arduino and RFID sensor module. This project is designed to record the employee details, date and time in PLX-DAQ Spreadsheet to monitor the time and date of entry and exit. Project 3: This is a security related project. We’ll show you how to make a keypad combination lock. In the project, keypad security system and access control with Arduino can change the combination without reprogramming the Arduino. If learning by making sounds like the way to go, then this course is for you! RFID tags are used for everything from credit cards and passports to inventory control and door locks. Everyone should know more than a thing or two about them. With this course, you'll be able to learn how to read, "spoof" and use RFID in both standard and creative ways. Their ubiquitous nature and how little an average citizen knows about them also makes for great science fair and educational projects. To explain RFID, we can use a key and lock analogy. Instead, of the key having a unique pattern, RFID keys hold a series of unique numbers that are read by the lock. It is up to our Arduino sketch to determine what happens when the lock reads the number. The key is the tag, card or another small device we carry around or have in our life. We will be using a passive key, which is an integrated circuit and a small aerial. It uses power from a magnetic field associated with the sensor. If you are a technology enthusiast and want to learn the cutting-edge technology, then this is the right course for you. I will teach you step by step how to go about building this project. I will also share the code with you so that you can replicate the project yourself. At the end of the course, you'll be fully familiarized with Arduino and ready to build your electronic security system. I look forward to you joining this course. It provides the complete source code of the real time project. What are you waiting for? Enroll now! Who this course is for: People who want to try Arduino and learn about microcontrollers Makers who have an existing intermediate or better understanding of electronics Individuals wanting to learn more about RFID applications Create a strict security system by identifying employees and/or clients, or implement anti-theft devices Engineering Students - Electronics, Electrical & Computer Science Electronic Geeks, Hobbiest & Art Students High School Science Students Less
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29 used

[100% OFF] Learn to Code with Python 3! Free

If you would like to learn Python 3 programming in... More 2020, you are going to LOVE this course! Get started with the most beginner friendly programming language and start writing your very own programs today! We will cover the following topics in this course: Introduction to Python and setup Python programming basics Functions - coding exercises Lists, tuples and dictionaries Files in Python 3 Error handling Object oriented programming Date & time Regular expressions Interacting with HTTP Networking in Python 3 Threading E-mails, PDFs, images This course was designed for absolute beginners who wish to master the Python programming language. All lectures are downloadable for offline viewing. English subtitles and a certificate of completion are are available as well. Thank you for taking the time to read this and we hope to see you in the course! Who this course is for: Students interested in learning the Python programming language. Students who wish to pursue a career in software development. Less
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85 used

[100% OFF] The Complete Ethical Hacking Course! Free

Would you like to get started as an ethical hacker... More? Do you want to become a professional penetration tester? Enroll now in The Complete Ethical Hacking Course and learn how to think like a hacker, and become familiar with the toolkit of a professional pentester. This course covers a wide range of topics relating to network security: Introduction to ethical hacking Reconnaissance Scanning and enumeration Network presence Attacking systems Web hacking Social engineering When you enroll in the course you will immediately receive access to 19+ hours of HD video tutorials, as well as additional supplemental resources for developing the necessary skills to succeed in the field. Learn by doing with demonstrations using popular pentesting tools such as Maltego, FOCA, Recon-ng, Nmap, masscan, tcpdump, Wireshark, Ettercap, Burp Suite, Scapy, Mimikatz, Hashcat, Konboot, Hydra, OWASP, SQLmap, mitmproxy, Skipfish and more! Thank you for taking the time to read this, and we hope to see you in the course! Less
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200 used

[100% OFF] Data Visualization in Excel: All Excel Charts and Graphs Free

What are the chart types I will learn in this cour... Morese? Excel offers the following major chart types. All of these are covered in this course Column Chart Line Chart Pie Chart Doughnut Chart Bar Chart Area Chart XY (Scatter) Chart Bubble Chart Stock Chart Surface Chart Radar Chart Combo Chart Pivot Chart Sparklines And many other creative ones :) How are charts useful in Excel? A chart is a tool you can use in Excel to communicate data graphically. Charts allow your audience to see the meaning behind the numbers, and they make showing comparisons and trends much easier. What are the benefits of using charts in Excel? Excel charts allow spreadsheet administrators to create visualizations of data sets. By highlighting a set of data within an Excel spreadsheet and feeding it into the charting tool, users can easily create various types of charts in which the data is displayed in a graphical way. This course will answer all the questions that would pop up while you set to visualize your data using Excel charts such as: How do you make Excel charts look better? How do you format a chart in Excel? What are the different elements of charts? How do I make those awesome infographics that I see in fancy magazines and TV reports? How do I create a comparison chart in Excel? What is the best chart to use for comparison? And many more... How is this course different from other resources available online? Most courses cover only teach how to draw different types of charts in Excel. The main point is missed. The main point of creating a chart is that you want to convey a message or tell a story using the chart. In this course, once you have learnt all the charting tools, you will also learn how you should create a chart. How you can highlight your message and avoid clutter in the chart, so that when your audience looks at the chart, the message is clearly conveyed to them. Who this course is for: Anyone curious to master charts in excel from beginner to advanced in short span of time Less
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46 used

[100% OFF] Machine Learning with Jupyter Notebooks in Amazon AWS Free

Are you a company or a IT administrator, data cent... Moreer architect, consultant, enterprise architect, data protection officer, programmer, data security specialist, or big data analyst and want to gain fundamental and intermediate level skills and enjoy a fascinating high paying career? Or maybe you just want to learn additional tips and techniques taking to a whole new level? Welcome to Machine Learning, Reinforcement Learning and AWS course For Beginners - A one of its kind course! The flipped classroom model with hand-on learning will help you experience direct into the course as your begin your learning journey. Be sure to watch the preview lectures that set course expectations! In this course, you'll learn and practice: Machine Learning topics Jupyter Notebooks Reinforcement Learning Machine Learning Services in AWS AWS Sagemaker Dynamic Programming Q-Learning Understand best practices, and much more.... You will also get complete resources, toolkit, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything! So, if you would like to: - start your freelancing career and consult companies, this course is for you - gain marketable skills as an IT expert and professional, this course is for you - This course is not designed for advanced level students ...this Machine Learning, Reinforcement Learning and AWS course is exactly what you need, and more. (You’ll even get a certification of completion) See what our students say “It is such a solid course that covers all important areas of machine learning, and I now know hoe to predict future products based on their features. Simply awesome!.” - Alex Neuman “This is such an awesome course. I loved every bit of it – Wonderful learning experience!” Ankit Goring. Join thousands of other students and share valuable experience Why take this course? As an enterprise architect consulting with global companies, technology evangelist, and brand innovator, I have designed, created, and implemented enterprise level projects, I am excited to share my knowledge and transfer skills to my students. Enroll now in Machine Learning, Reinforcement Learning and AWS today and revolutionize your learning. Stay at the cutting edge of Machine Learning and Data Science —and enjoy bigger, brighter opportunities with AWS. Qasim Shah Who this course is for: Beginner IT professionals who want to get in the forefront of the Artificial Intelligence and Machine Learning game Anyone who is curios about machine learning Less
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[100% OFF] Develop and Publish a Google Chrome Extension! Free

Hello and welcome to our course on how to develop ... Moreand publish a Google Chrome Extension! This web development course was designed for all levels of programmers, and will provide you with practical JavaScript programming experience. In this course we will build two Chrome extensions and cover the following topics: Introduction and Manifest Content Scripts Messaging Different Parts of the Extension Creating Share Popup Icons Building an Image Downloader Interacting with the DOM Uploading to the Google Chrome Web Store Project source code is available on GitHub. All of the videos in this course are downloadable for offline viewing. English subtitles/captions are available within the course. Thank you for taking the time to read this and we hope to see you in the course! Who this course is for: Web developers interested in publishing a Google Chrome Extension. New JavaScript programmers looking for practical projects. Less
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83 used

[100% OFF] Digital Marketing (SEO, Google Ads, Google Analytics etc) Free

Although this course is for beginners, the knowled... Morege it provides is really advanced. It is full of tips and tricks as well as tested methods that will make you an expert in digital marketing and online advertising. Its curiculim includes: Blogging Social Media Google Ads SEO Google Analytics E-commerce Optimization Conversion Optimization Each section of the course is a step by step guide that not only gives you usefull instructions about the topic it addresses but also tried methods that you can easily use to bring profits to your business and to be a successful digital marketing professional. Less
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123 used