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[100% OFF] CSS Flexbox Quick introduction to using FlexBox CSS style Free

Explore more about using Flexbox with examples and sample code to get you coding. Flexbox is a one-dimensional layout method for laying out items in rows or columns. Items flex to fill additional space and shrink to fit into smaller spaces Please note that the scope of this course using CSS Flexbox. If you are looking for a more detailed CSS course this course is not for you. Simple course with limited scope designed to be topic specific. Taught by an instructor with over 20 years of Web Development experience. If you've been looking to get started with CSS Flexbox - THIS COURSE IS FOR YOU!!!! Nothing to lose - Fast friendly support is always available to help if you need it. Please note that the SCOPE OF THIS COURSE IS Creating and using CSS flexbox and will not cover complex commands and everything about CSS, HOW TO GET STARTED COURSE - if you are looking at more detailed node or JavaScript content this is not for you. Who this course is for: Web developers Web designers Anyone who is building a website Webmasters and web coders creating web content
100% success rate

[100% OFF] The Complete Networking Cisco CCNA Free

Welcome to the Complete Network Fundamentals Cours... Moree! In this course, you will learn the technologies that keep the world as you know today connected and running. We cover both the fundamentals of networking as well as the topics in the new Cisco CCNA 200-301 exam. Networks are all around us and you are using one right now to access this course. Imagine for a moment, how different your life would be without access to Facebook, Snapchat, Google, YouTube, Whatsapp or any of the other websites on the Internet? How would you live with no Internet? The Internet is extremely important in modern life today and all websites and Internet communication relies on networking. This reliance is only predicted to continue with the growth of the Internet of Things (IoT) in the next few years. Without routers, switches, network cabling and protocols like BGP there would be no Internet! This course will teach you how networks actually work and how you are able to connect to websites like Facebook, Google, and YouTube. Companies throughout the world (from the smallest to the largest) rely on networks designed, installed and maintained by networking engineers. Join this in demand industry! Start your journey today learning about networking. Content in this course can be used towards your CCNA. Topics such as IP addressing, subnetting and many others can be applied directly to passing your CCNA certification. Access our online simulations so you can practice on simulated Cisco routers and switches. You will get to type commands such as enable, configure terminal, router ospf and many others and learn how to configure devices. Who this course is for: Anyone wanting to learn about networking If you want to start your journey to CCNA Less
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[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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[100% OFF] Linux Kernel Development Course Free

Have you ever wanted to create your very own Linux... More kernel module and start writing kernel code? Well this step by step course is designed to teach you just that, we start off by installing all the dependencies we need, then we create the simplest kernel module we can a "Hello World" module that just prints "Hello World" from kernel space. Finally we create a character device module that allows user programs to send data to us and read data from us. Think "/dev/random" During the time I taught myself all of this many times I found articles from 2004 and they were outdated, this makes kernel development very difficult but I learnt a trick to make it all easier which I share in this course. This course is designed to clear up all the misconceptions every detail of what we are doing is explained in depth and nothing is left out Taught by an expert that that has created kernel modules professionally in the work place. Primarily virtual file system modules Who this course is for: Beginner Kernel Developers Less
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[100% OFF] ISTQB Foundation Agile Tester training for 2020 EXAM + QUIZ free

Importance of this course You can go for any co... Moreurse to get training but to practice istqb questions and understand what types of questions are asked by ISTQB from each topic you need this course . ----------------------------------------------------------------------------------------------------------------------------------------------------- ALL-IN-ONE ISTQB foundation level certification course --> Study Lectures + ISTQB PDF + Sample questions (all in one) --> 250+ question and in-depth explanation to each topic . --> Previous years ISTQB questions (ISTQB QUESTION BANK) --> For each topic in ISTQB syllabus there is a lecture and quiz questions for practice --> HD videos - HD Audio (no power point style reading) : Watch the preview lectures to get the feel. ----------------------------------------------------------------------------------------------------------------------------------------------------- MY EXPERIENCE WITH ISTQB/ASTQB (I cleared 6 levels) First of all you need to know that how much ever you read the topic or which ever training course you take at the end you have to attempt the ISTQB "confusing Questions" and select the Best answer. ----------------------------------------------------------------------------------------------------------------------------------------------------- SOLUTION To Select the best options , only reading or going through the Training will not completely help, what will help is PRACTICE. The more you practice ISTQB real Questions, more you will know how you have to read or prepare for the EXAM. Most of the student leave this step and then face problems while Attempting Questions in EXAM. ----------------------------------------------------------------------------------------------------------------------------------------------------- Chapters covered Chapter 1 - Agile Software Development Chapter 2 - Fundamental Agile Testing Chapter 3 - Agile Testing Methods Chapter 4 - Techniques in Agile Projects More then enough to know what type of questions are asked from which chapter by ISTQB ----------------------------------------------------------------------------------------------------------------------------------------------------- ABOUT COURSE This special course is designed for all the students who are writing the ISTQB/ASTQB Agile exam for the first time and don't know what types of questions are asked by the ISTQB. For each ISTQB topic mentioned in ISTQB/ASTQB Syllabus the question are provided which will give you the fair idea what types of question are asked by the ISTQB/ASTQB and how to answer them. This course will give you the in-depth knowledge about types of question asked from each topic. ----------------------------------------------------------------------------------------------------------------------------------------------------- Highlights of the course: Each lecture is mapped with the ISTQB syllabus. Thousands of examples are used in the syllabus to make concept clear. ISTQB Agile official PDF is provided Course contains more than 200 questions. More than 20-Quizs are there to evaluate your preparation from the beginning. Questions are arranged Chapter wise. 2-Latest practice set at the end of the course(not available any where). Answer of the question is available as soon as you attempt the question. Each Chapter has sample questions. Questions are based on latest syllabus. Course contains many practical questions which are difficult to understand in the first attempt. ----------------------------------------------------------------------------------------------------------------------------------------------------- WHY ISTQB MASTER: I am an "International Certified trainer" for below topic along with my authentication no*: 1. Certified ISO-26262 for functional safety testing 2. 87973 Foundation level 3. 108197 Advance level Technical Test Analyst 4. 116388 Advance level Test Analyst 5. 114710 Agile tester Extension 6. 117029 Model based testing (*you can put these no. in respective websites and find my details) ----------------------------------------------------------------------------------------------------------------------------------------------------- BENEFITS: Are you looking for JOB? Do you want to switch to testing job? Preparing for testing interview ? Are you a student / professional who what to make career in Multinational company ? Do you want to understand testing concept from in-n-out ? Then this is the end for your search, we have used our experience to help you with real industry related examples used in fortune 500 companies, which will help you get the in - and - out of testing ----------------------------------------------------------------------------------------------------------------------------------------------------- --------***** This course has everything that is required for the ISTQB AGILE level ******--------- This course is designed around the official Exam Guide of ISTQB AGILE level , weighting the 4 Knowledge Areas appropriately, so you can perform well in ISTQB AGILE Certification Exam with confidence! The course will help you to understand what is the expectation of ISTQB. "This material is not accredited with the ISTQB" ISTQB used here means Indian service test quality board Who this course is for: All you what to write the ISTQN Agile exam Less
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[100% OFF] Mastering Agile Scrum Workshop Free

UPDATE FOR 2020 with Tanmay's latest knowledge on ... MoreAgile Scrum Certification! This course is about learning the latest Agile Scrum methodology for the Software development field. In this course, you will learn all other Agile methodologies along with detailed information on Scrum. By this course, experienced project managers can grow in their careers and get the next level of opportunity as an Agile Scrum Master and the junior team members can learn the process of the Agile Scrum methodology. The biggest target audience is at any experience level who wants to learn Agile Scrum in detail and apply in the career!!! Who this course is for: Project Managers who would like to be an Agile Scrum Master Qualifying Agile Scrum Master Certification Exam People who want to learn about Agile Scrum Developers, BAs, Architects, Analysts, Designers, Managers, etc 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] 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] Deep Learning and Neural Networks - Complete BootCamp [2020] Free

Description A complete course on Deep Learning an... Mored Neural Networks concepts in a simplified and easy to understand manner. In this course, you will learn the foundations of deep learning. The course covers following: Introduction to Neural networks and its Applications Basics of Neural Networks NumPy crash Course and Vectorization Shallow Neural Networks Deep Neural networks Key parameters in neural network architecture Let's dive into the course. Less
Expired
148 used

[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
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139 used, 71% success rate

[10$] Cloud Computing for Machine Learning

Build and Deploy Machine Learning programs on the cloud
Expired
107 used

[100% OFF] Learn Angular 7 Boilerplate In Hindi (Get A CRUD Project) Free

Description This short course is designed to begi... Morenners having little idea of web applications and is based on a boilerplate project created by Angular 7 CLI. It introduces the versions of AngularJS to Angular2+. It also demonstrates the installation process to the first run of the app. Next, it tries to explain the folder structure and code from file to file. Who this course is for: Beginner in Angular and Node js from Hindi/Urdu speaking background Less
Expired
70 used

[100% OFF] Python for Beginners - Learn Python Programming in Hindi Free

Head into the world of Python Programming, easy an... Mored detailed. Build your own applications, right from the basics! Less
Expired
112 used

[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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84 used
87 used, 100% success rate

[100% OFF] Complete Vue.js 3 (Inc. Composition API, Vue Router, Vuex) Free

Another Vue.js 3 from zero to hero course - kind o... Moref. This course is for developers who want to move fast. We cover the traditional way of building Vue apps - the Options API - as well as the the new Composition API, and even see how you can mix and match them together. There are 8 modules; 4 introduce fundamental skills (Options API; Composition API; Vuex and Vue Router). Every other module is a project, so you can see how to apply the fundamental skills in real apps. I am a big believer in learning by doing. After covering Vue; we look at Vuex, Vue's state management solution, and Vue Router, for front-end routing. The course culminates with a capstone project, using the Vue trunity (Vue, Vuex, Vue Router) to build an application. Less
Starts 20.10.2020
68 used

[100% OFF] The Complete Front-End Web Development Course! Free

If you would like to get started as a front-end we... Moreb developer, you are going to LOVE this course! Work on projects ranging from a simple HTML page to a complete JavaScript based Google Chrome extension. We will cover the following technologies in this course: Web development basics with HTML Cascading Style Sheets (CSS) JavaScript programming jQuery JavaScript library Bootstrap framework We will work on 3 class projects throughout this course: Simple text site - We will use what we learned in the HTML sections to create a simple text site. This project will help you learn HTML structure and the essential elements. Fallout inspired Pip-Boy - We will take what we learned in the CSS and Bootstrap sections of the course to code a Pip-Boy from the game Fallout. This project will help you learn the design elements of modern web development. Google Chrome extension - We will finish the course by programming a JavaScript based Google Chrome extension. This project will help you understand the logical parts of web development. This course covers the most popular web development frameworks, and will get you started on your path towards becoming a full-stack web developer! Still not sold? Check out a few of the awesome reviews this course has received! "Excellent Course! Highly Recommend It! Such a great hands on experience with this course." "Very nice course, covers all the stuff you need, good voice and good explanation makes it perfect for people that are new to HTML. Also there's some best practices recommendations which are useful even for advanced developers." "Excellence in giving the optimal set of tools for web development beginners seeking a well-rounded start for professional web development." Thank you for taking the time to read this, and we hope to see you in the course! Who this course is for: Anyone who would like to learn front-end web development Less
Expired
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[100% OFF] Data Science: Supervised Machine Learning Bootcamp in Python Free

This course focuses on one of the main branches of... More Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language. The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning. Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally. During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more. Let's get started! Who this course is for: Those who are interested in AI and Machine Learning Those who have basic knowledge of any programming language Those who want to be create awesome Machine Learning and AI modules And those who want to earn some handsome amount of money from Machine Learning Field in Future Less
Expired
165 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
222 used

[100% OFF] Python for beginners - Learn all the basics of python Free

Have you always wanted to learn programming but di... Moredn't know where to start ? Well now you are at the right place ! I created this python course to help everyone learn all the basics of this programming language. This course is really straight to the point and will give you all the notion about python. Also, the course is not that long so and the way the material is presented is very easy to assimilate. So if python is something that you are interested about, then you will definitely like this course. Enjoy your learning :) Less
Expired
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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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