This is ovberwriting?

[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] GraphQL from Scratch with React Node Free

Looking to Build Lightning Fast Realtime Web Apps ... Moreusing GraphQL with MERN Stack? This course is your starting point to be able to build Modern Web Apps for present and future. Get started with very easy to follow lectures to make yourself comfortable with GraphQL and learn how you can combine it with Node and MongoDB to build GraphQL Server and also learn to combine with React to build GraphQL Client. Less
Expired
143 used, 71% success rate

[100% OFF] Socket Programming in Python | Socket Programming Course Free

Welcome to this course on Python Socket Programmin... Moreg Tutorial. In this video we will see the Basics of Networking. The goal of this Socket programming tutorial is to learn how to build client/server applications that communicate using sockets. We are going to look at a bunch of application level protocols (HTTP, DNS, FTP, SMTP, POP, IMAP, ..). The Objective of this course is to understand principles of networking, learn TCP and UDP features, learn to implement Python programs to access networking functionality. We will see Python examples of client and server program structures etc. In this Course you will learn Basics of Networking, Basics of Sockets | What is a Socket?, Write Your First Socket Program using Python socket module, TCP/IP Client and Server, Build a Python Socket Client with Example, UDP Client/Server Socket in Python with Example, Make a Multithreaded Socket Server, Socket Server with Multiple Clients Less
Expired
93 used

[100% OFF] HTML, CSS and JavaScript: The Complete Web Developer Course Free

Do you need to master the art of front-end develop... Morement? Look no further. This course is your complete beginners guide to developing cutting-edge web pages that are fully mobile responsive. The course branches into three sections. 1. Explore HTML5 Learn the composition of a web page and how a web browser interprets html code to display the visual elements of a page. Learn the core fundamental aspects of HTML syntax, to ensure you are well prepared for the remaining sections ahead. 2. Explore CSS3 Learn to add stunning design elements to really make web pages visually aesthetic. Learn a broad range of CSS attributes to make web pages completely mobile responsive, even on the trickiest of devices such as phones and tablets. 3. Explore JavaScript Dive into adding interactive client-side functionality using JavaScript. JavaScript is an extremely powerful front-end programming language that can really help take web pages to another level. Learn how to add client-side validation to forms, animate images and objects, and manipulate both HTML and CSS. Who this course is for: Anyone who needs to learn to code Anyone who needs to build a website Less
Expired
200 used, 100% success rate

[100% OFF] Complete MySQL Course: Beginner to Advanced

Complete MySQL course. Learn MySQL from scratch an... Mored go from beginner to advanced in MySQL. Less
Expired
232 used, 100% success rate

[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
Expired
91 used

[100% OFF ] Learn Java by building 17 projects step by step Free

Learning to code can be both fun and rewarding . J... Moreava is a useful ,robust and popular programming language to embark on that journey. This course is a practical Hands-on course from the first to the last section. The best way to learn is by doing so you will be doing a lot of coding. Java is a case-sensitive, modern, general-purpose, object-oriented programming language. One of the reasons Java is so popular is that it is platform independent . You only need to write java code once and then run it on any platform be it mac, windows or Linux. In this course we will create 17 practical and useful projects step by step. The projects include: Calculator Digital Clock Weight Converter Temperature Converter Height Converter Random Number Generator BMI Calculator Tool Percentage Calculator Word Count Tool Add number program Program to determine Even numbers Program to determine Leap Year Program to calculate area and perimeter of a circle Program to find highest number Program to find Prime Numbers Program to create a triangle Program to determine largest numbers This course will guide you through java basics, its core syntax, and the fundamentals of writing strong java code. I will show you how to install Java JDK and NetBeans IDE. Netbeans is a great IDE for developing in java, and then dive into the language itself. Along the way, we will cover topics such as: Declaring and initializing variables with a variety of data types Exploring Basic Arithmetic operators Troubleshoot Compile errors Controlling flow with conditional code Creating Method Creating Event Handler methods Using Component controls and changing their properties If java is your first step into programming or adding it your existing skillset, these training videos will help you understand the language and use it to build your own great software. Less
Expired
69 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
Expired
154 used

[100% OFF] The Complete Android App Development Masterclass: Build Apps Free

Welcome To The Complete Android App Development Ma... Moresterclass: Build 4 Apps ⇉ Join 500,000+ Students Who Have Enrolled in Our Udemy Courses! ⇉ 10,000+ Five Star Reviews Show Students Who Enrolling Are Getting Real Results! ⇉ You Get Over 20+ hours and 100+ Lectures of FULL HD content! ⇉ Watch the Promo Video to see how you can Get Started Today! _________________________________________________________________________ Here are all of the benefits to enrolling in our complete Android App course today -We've designed this course to include everything you need to know about Android App Development in 2020 and beyond.. -We've also designed this course so that you can learn everything you need to start building your own Android Apps in less than 8 weeks.. -Our previous android app course had more than 100,000 students -- so we've made this course bigger, better, with more apps and even more affordable -Don't have any previous experience with Android App Development? No problem. We take you from beginner to advanced and show you how to get build real world android apps from scratch - you don't need any prior experience to enroll in our course. But thats not all... We believe the best way to learn in by DOING. That is why we have you build 4 real world applications right along side of us in this course! These hands on projects will allow you to not only learn by watching, but by DOING as well. Here are some of the projects you will create in our complete after effects cc master class First you will build a sample application (add in more about these and the other projects) Here are all of the Useful Skills you will learn in our complete course: Java Language Designing reach User Interfaces Debugging android applications YouTube and Google Maps APIs Databases Content Providers Networking in Android Handling Background Tasks Notifications Version control with Git and GitHub Tips for Publishing So much more _________________________________________________________________________ With the right mindset, understanding, and application, you will instantly begin learning how to become a professional android app developer from scratch. When we learn something new - we add it to the course - at no additional cost to you! This is a course that will continue to add more and more to every aspect of your life. _________________________________________________________________________ What I can't do in this Course.. I can't guarantee your success – this course does take work on your part. But it can be done! I am also not responsible for your actions. You are responsible for 100% of the decisions and actions you make while using this course. _________________________________________________________________________ It's time to take action! This course will not remain this price forever! Enroll Today! Every hour you delay is costing you money... See you in the course! Sincerely, Meisam & Joe Less
Expired
228 used

[100% OFF] Fundamentals of Machine Learning[Hindi] Free

This course is designed to understand basic Concep... Moret of Machine Learning. Anyone can opt for this course. No prior understanding of Machine Learning is required. Data pre processing and Simple Linear Regression Concepts are covered in detail. Coding part is not covered, however wherever possible I have attached the code in the resources. Now question is why this course? This Course will not only teach you the basics of Machine learning and Simple Linear Regression. It will also cover in depth mathematical explanation of Cost function and use of Gradient Descent for Simple Linear Regression. Understanding these is must for a solid foundation before entering into Machine Learning World. This foundation will help you to understand all other algorithms and mathematics behind it. Less
Expired
127 used, 100% success rate

[100% OFF] Flutter and Firebase Part 1 (Real-Time Database) free

This class covers Flutter and Firebase Real-time D... Moreatabase in more details. The class focuses on CRUD (Create, Read, Update and Delete) of Firebase Real-time Database. Students will learn how to integrate Firebase into flutter applications. Students will also learn how to create, read, update and delete from real-time database in more details. Aside Firebase and database, students will also learn how to design interfaces in flutter, including how to use pop-ups and dialog box in flutter. Students taking this class should have basic knowledge in programming. Basic knowledge and experience in flutter and/or dart is preferred but not a requirement. Less
Expired
8 used

[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
Expired
55 used

[100% OFF] Python Game Development™: Build 5 Professional Games Free

Have you ever wanted to build a game with a graphi... Morecal interface but didn't know how to? Maybe you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course, we will be learning Python GUI Programming + Turtle + other advanced python modules to build graphical user interfaces (GUI) and games from scratch. Game projects covered: 1. Solitaire 2. Space Shooter 3. Chain Reaction 4. Pac-man 5. Car Racing 6. Snake and many more. Basic Python course Highlights: Installing Python Running Python Code Strings Lists Dictionaries Tuples Sets Number Data Types Print Formatting Functions Scope args/ kwargs Built-in Functions Debugging and Error Handling Modules External Modules Object-Oriented Programming Inheritance Polymorphism Encapsulation Advanced Methods Iterators Closures and much more! Less
Expired
87 used

[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
Expired
178 used

[100% OFF] ML for Business Managers: Build Regression model in R Studio Free

You're looking for a complete Linear Regression co... Moreurse that teaches you everything you need to create a Linear Regression model in R, right? You've found the right Linear Regression course! After completing this course you will be able to: · Identify the business problem which can be solved using linear regression technique of Machine Learning. · Create a linear regression model in R and analyze its result. · Confidently practice, discuss and understand Machine Learning concepts A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. How this course will help you? 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 the most popular technique of machine learning, which is Linear Regression Why should you choose this course? This course covers all the steps that one should take while solving a business problem through linear regression. 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 Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Linear Regression: · Section 1 - Basics of Statistics This section is divided into five different lectures starting from types of data then types of statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation · Section 2 - R basic 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. · Section 3 - 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 4 - Data Preprocessing In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation. · Section 5 - Regression Model This section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem. By the end of this course, your confidence in creating a regression model in R will soar. You'll have a thorough understanding of how to use regression 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 is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value. Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, the method is known as multiple linear regression. Why learn Linear regression technique of Machine learning? There are four reasons to learn Linear regression technique of Machine learning: 1. Linear Regression is the most popular machine learning technique 2. Linear Regression has fairly good prediction accuracy 3. Linear Regression is simple to implement and easy to interpret 4. It gives you a firm base to start learning other advanced techniques of Machine Learning How much time does it take to learn Linear regression technique of machine learning? Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression. 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 R 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 R 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 in R where we actually run each query with you. Why use R for data Machine Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine 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 Data journey Statisticians needing more practical experience Anyone curious to master Linear Regression from beginner to advanced in short span of time Less
Expired
50 used

[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
Expired
66 used

[100% OFF] 50-point SEO Audit 2020 To Test Your Site Or As Freelancer Free

Learn to do an SEO audit with my comprehensive 50-... Morepoint checklist. You will be able to not only identify problems on your site, but I'll show you how to fix them on your own. My goal is for you to be able to find and fix SEO problems on your site. You will only need to hire freelancers to do the intermediate to advanced technical work that is beyond SEO. Sometimes you will encounter SEO issues that can be fixed by a software engineer or a network engineer. In those cases, I recommend that you hire a freelancer. But in most cases, I show you how to fix the SEO problems on your own. After The Audit, You Will Have: After performing the audit, you'll have a list of improvements and an ability to implement: Making your site mobile Improving site load speed Content quality Optimal content strategy with full site crawling, indexing, and ranking potential Sell SEO Audit Services As A Freelancer Or As An Agency Service SEO audits are a popular service to provide. After this course, you'll be able to impress potential clients that you will give them an impressive and comprehensive site audit with many actionable items they can implement. After that, you will be able to implement most of those action items and make more revenue from that. Who this course is for: Website owners, entrepreneurs, freelancers Less
Expired
54 used

[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
Expired
90 used

[100% OFF] Learn Python Web Development With Flask Zero To Hero Free

Flask is a micro web framework written in Python. ... MoreIt is micro framework because it does not require dozens of tools and library. you can customize flask as you want with the help of flask and get creative with it. What will you learn? You will Learn about Back End Web Developed Flask Models Sqlalchemy Sqllite Python Advanced Databases Flask Login Login System Full CRUD functioning db Why Flask? Flask Make it easy to use and good for python beginners. it is best if you want to make project light weight Why this Course we will be making 2 different projects and 1 to work as assignment to do list app full blogging web app with login Project: Library Management System Who this course is for: Web Developers Beginners curious for python Beginners curious for python web development Beginners curious for python flask Beginners curious for python web frameworks Less
Expired
145 used

[100% OFF] How to build successful project strategy Free

You're in the right place. You can learn through t... Morehis course how to start, build and implement successful project strategy. You will get advice how to measure and follow-up your project strategy. This will certainly make your current or coming project successful from the beginning. This course will help you 1. Understand project strategy principles 2. Start your project strategy from zero, linked to enterprise expectation 3. Build successful project strategy according to planned objectives 4. Implement planned and selected strategy into practice 5. Measure your success, recognize problems before failure 6. Avoid mistakes from start until end. Have you had problems in your project scope, schedule or budget? Have you ever thought there could be better ways to success in projects? Enroll this course to learn more, be more successful and take your projects into next level. It's important to understand both enterprise and project KPIs (Key Performance Indicators) and how they link to each other for expected outcomes. Project management is a function which will glue together many departments, teams and people for desired outcome. To make your project successful it needs to be strategic. This course is designed for beginners and more advance project managers or project members. It will also help stakeholders like sponsors to understand how projects fail or success. You can take tips and tricks from this course into your toolbox and create a success! Enroll today! Who this course is for: Project team members Project managers Project sponsors/other stakeholders Less
Expired
29 used