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[100% OFF] Java Parallel Computation on Hadoop Free

Build your essential knowledge with this hands-on, introductory course on the Java parallel computation using the popular Hadoop framework: - Getting Started with Hadoop - HDFS working mechanism - MapReduce working mecahnism - An anatomy of the Hadoop cluster - Hadoop VM in pseudo-distributed mode - Hadoop VM in distributed mode - Elaborated examples in using MapReduce Learn the Widely-Used Hadoop Framework Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0. All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework. Apache Hadoop's MapReduce and HDFS components originally derived respectively from Google's MapReduce and Google File System (GFS) papers. Who are using Hadoop for data-driven applications? You will be surprised to know that many companies have adopted to use Hadoop already. Companies like Alibaba, Ebay, Facebook, LinkedIn, Yahoo! is using this proven technology to harvest its data, discover insights and empower their different applications! Contents and Overview As a software developer, you might have encountered the situation that your program takes too much time to run against large amount of data. If you are looking for a way to scale out your data processing, this is the course designed for you. This course is designed to build your knowledge and use of Hadoop framework through modules covering the following: - Background about parallel computation - Limitations of parallel computation before Hadoop - Problems solved by Hadoop - Core projects under Hadoop - HDFS and MapReduce - How HDFS works - How MapReduce works - How a cluster works - How to leverage the VM for Hadoop learning and testing - How the starter program works - How the data sorting works - How the pattern searching - How the word co-occurrence - How the inverted index works - How the data aggregation works - All the examples are blended with full source code and elaborations Come and join us! With this structured course, you can learn this prevalent technology in handling Big Data. Who this course is for: IT Practitioners Software Developers Software Architects Programmers Data Analysts Data Scientists

[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
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[100% OFF] Deep Learning Course with Flutter & Python - Build 6 AI Apps Free

Join the most comprehensive Flutter & Deep Lea... Morerning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications! Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN's, CNN's, & Natural Language Processing. In this course, we will build 6 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning Flutter applications! After completing this course you will be able to: Learn the tools and skills to develop any AI idea you have onto a mobile phone. Have a clear understanding of different types of Neural Networks and how you can use them to your advantage. Build any Neural Networks in Python and then export them into your Flutter application. Use different strategies to get neural networks with 90%+ accuracy. Why should you choose this course? This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches. It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications. Here's what's included in the course: Building a neural network on Teachable Machine and exporting it into Flutter project Building a neural network in Keras/Python on Google Collab/Jupyter Notebook and exporting it into Flutter project Using API's to perform some Natural Language Processing and implementing those algorithms into our app. Build a GAN in python and implement it into your flutter application. And much more! This course is for you if ... You're interested in building real native mobile apps for the two most popular mobile platforms - iOS and Android You're passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge. You want to expand your Deep Learning/AI portfolio with 6 Cutting Edge Deep Learning apps! Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device! Course prerequisites: Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what Flutter is) Know some theory behind Neural Networks (Know how data is processed in a Neural Network) Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send us a direct message. Less
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[100% OFF] Network Ethical Hacking (Kali Linux 2020 - Hands-on) Free

Welcome to the Network Ethical Hacking course! Ha... Morecking is a science similar to any other science. In this course I am going to show you the basics of hacking which will support you to start by yourself to develop your hacking skills to an advanced level. This course considers you have No prior knowledge in hacking or in Linux operating system, & by the end of it you'll be able to hack systems like great hackers and keep yourself secured like security experts! This course is practical but it will not ignore the theory. We will start with Kali Linux basics, then will try to make you comfortable with Linux environment. Then we will learn how to install the needed software (VirtualBox, Kali Linux, Windows 10) as virtual machines then we will start the hacking adventure. The course is divided into 5 sections, (Introduction, Pre-Attack Phase, Attack Phase, Post-Attack Phase, and How to Keep Yourself Protected). In Summary, in this course YOU Will LEARN THE FOLLOWING: - How to prepare the penetration testing lab. - How to get comfortable with Kali Linux by getting the important required commands. - How to use Linux commands & how to interact with the command terminal. - How to change your system MAC address (Spoof) to stay anonymous. - How to attack any close wireless network and get all details about it (including target network MAC address, SSID, Encryption Type, ...etc). - How to get the MAC addresses for all clients connected to the target network without even knowing the password of the target router. - How to Perform (word list) Attacks to get passwords. - How to perform fake-authentication attack to target router without even knowing the password of the target network. - How to perform De-Authentication attacks without even knowing the password of the target network. - How to perform ARP attack without even knowing the password of the target network. - How to hack wireless networks to step by step. - How to get Wi-Fi passwords for WEP , WPA and WPA2. - How to Sniff Data from the network you hacked. - How to perform ARP spoofing attack to be the man in the middle MITM to intercept user names and passwords. - How to know who is connected to the network you hacked. - How to scan network for more details about connected devices. - How to intercept network traffic. - How to use many tools, tricks and techniques to hack networks. -How to generate your own viruses. - How to hide your virus in any other file extension (jpg, pdf, docx, xlsx..) - How to gain access to remote computers. - How to hack Mic, Camera, and Keyboard keys (Key Logger).. - Many other cool stuff about network hacking. - How to keep yourself protected from the above mentioned attacks. *** You will get 3.5 hours of hacking and hacking techniques *** *** You will start from 0 to reach a good level of understanding and practical use of Linux and hacking tools *** Notes: This course is created for educational purposes only, all the attacks are launched in my own lab or against systems that I have permission to test. This course is totally a product of Mohammad Hamza Sheikh and no other organization is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Udemy, apart from that NO OTHER ORGANIZATION IS INVOLVED. Kind Regards Hamza Less
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[100% OFF] Home Business Basic Sales & Marketing Tools

Learn About Some Of The Basic Sales & Marketin... Moreg Tools For A Home Business Less
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[100% OFF] Firebase ML Kit for Android Developer's Free

Firebase ML Kit for Android Developer's Make yo... Moreur Android Applications smart, use trained model or train your own models explore the power of AI and Machine Learning. This course was recorded using Android Studio 3.6.1 (which is a great introduction to the development environment!) For a smooth experience I'd recommend you use the same, but students can still use the latest Android Studio version available if they prefer! Wish you’d thought of Object Recognition/Face Detection/Text Recognition? Me too. But until I work out how to build a time machine. Here’s the next best thing. Firebase ML Kit for Android Developer's Why choose me? My name’s Hamza Asif, Udemy’s coding instructor. It's not my first on mobile Machine Leaning. I have a course named "Machine Learning for Android Developer using Tensorflow lite" on udemy. So which course you should take? It's recommended taking "Machine Learning for Android Developer using Tensorflow lite" first so that you can understand the working of Machine Learning. If you want to learn a practical implementation and use of Machine Learning in Android then that course is for you. This is my 2nd course on Android Machine Learning and I am the only udemy instructor with more than one course on that topic. My goal is to promote the use of Machine Learning in Android and I am excited to share my knowledge with you. Android Version we will use? Android Pie, Android Q All the Android Application we will develop in this course we will use Android Pie and Q to test them. So we are\ So join my Firebase ML Kit for Android Developer's course today and here’s what you’ll get Learn practical implementation of Text Recognition, Language Identification, Face and expression detection, Barcode scanning, Landmark Recognition, Text Translation, and Object detection and recognition. With Auto ML learn how to train the model on your own dataset and use those models in Android Application Learn about both on-device and Cloud Machine Learning Why take this course? Machine Learning use is at its peak so is the mobile tech but people having skills to implement both are rare. This course will enable you to empower your Android Application with the practical implementation of Machine Learning, Computer Vision and AI. Having a little knowledge of Android Development, this course will differentiate you from other developers because you will have something that is currently in demand. This course will make provide you a smooth path to become a pro in using Machine Learning in your Applications. This course will not just enable you to apply machine learning in limited scenarios but It will enable you to Prepare or download your own dataset Train machine learning model Develop Android Application So if you have very basic knowledge of Android Development and want to apply Machine Learning in Android Applications without knowing background knowledge of Machine Learning this course is or you. Is this course for you? This is a one-size-fits-all course for beginners to experts. So, this course is for you if you are: A total beginner, with a curious mind and a drive to make and create awesome stuff using App development and ML A fledgling developer, want to add Machine Learning implementation in his skillset A pro app developer-heavyweight, with an itch to build your dream app An entrepreneur with big ideas Benefits to you Risk-free! 30-day money-back guarantee Freedom to work from anywhere (beach, coffee shop, airport – anywhere with Wi-Fi) Potential to work with forward-thinking companies (from cool start-ups to pioneering tech firms) Rocket-fuelled job opportunities and powered-up career prospects A sense of accomplishment as you build amazing things Make any Android app you like (your imagination is your only limit) Submit your apps to Google Play and potentially start selling within hours Thanks for getting this far. I appreciate your time! I also hope you’re as excited to get started as I am to share the latest use of ML in Android development with you. All that remains to be said, is this… Don’t wait another moment. The world is moving fast. And I know you’ve got ideas worth sharing. Coding really can help you achieve your dreams. So click the button to sign up today – completely risk-free. And join me on this trailblazing adventure, today. Who this course is for: Anyone who wants to learn the practical implementation of Machine Learning and Computer Vision in their Android Applications. Anyone who wants to make their Application smart. Anyone who wants to train and deploy Machine Learning models on his own data without background knowledge of Machine Learning. Less
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[10$] Cloud Computing for Machine Learning

Build and Deploy Machine Learning programs on the cloud
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[100% OFF] CYBER SECURITY SPECIALIZATION : Part 1 Free

The growth in the technological field is exponenti... Moreal. Day by day, the IT sector is flourishing to a greater extent. With such rapid growth, the need for security is also increasing. People have started becoming concerned about their privacy. Cybersecurity issues are becoming a day-to-day struggle for businesses. Recent trends and cyber security statistics reveal a huge increase in hacked and breached data from sources that are common in the workplace. With these growing trends, every individual must be aware of security and that is why you should go for this course! Most of the people are often confused when they are asked - “WHAT IS CYBER SECURITY?” The most common reply is - “UM, HACKING. ” Well, hacking is part of cyber security but it really doesn’t mean that hacking is the synonym of cyber security. Many courses out there are only focusing on the practical approach of cyber security - HACKING. Well, hacking is not the only domain of cyber security. There are other domains also, for example Incident Response Team, Blue team, Security Audits, IT Security Management, Security laws and many more. In order to start practicing hacking, you should first know the concepts! You should understand how the world is dealing with cyber threats. HACKING is not the only “coolest” thing here. There are other security topics as well. !!!! Hackers attack every 39 seconds, on average 2,244 times a day. !!!! So are you sure that your data is well protected from these hackers? Have you even configured your network to maintain your privacy? Do you know how hackers can gain access to your devices without you even getting notified? Well, don’t worry! We are here to answer these questions. There might be many questions in your mind regarding this course. We will surely address all of them once you enroll for this course, but for the time being, we’ll focus on the following questions: WHY SHOULD I LEARN CYBER SECURITY? Let’s face it. We live in a digital world. Our work lives, personal lives, and finances have all begun gravitating toward the world of the internet, mobile computing, and electronic media. Unfortunately, this widespread phenomenon makes us more vulnerable than ever to malicious attacks, invasions of privacy, fraud, and other such frightening cases. That’s why cyber security is such a vital part of a secure and well-ordered digital world. Cybersecurity keeps us safe from hackers, cyber criminals, and other agents of fraud. But let me ask you a question, HOW GOOD IS YOUR KNOWLEDGE ABOUT CYBER SECURITY? Here are some facts that would blow up your mind! According to Varonis, Worldwide spending on cyber security is forecasted to reach $133.7 billion in 2022. Data breaches exposed 4.1 billion records in the first half of 2019. Symantec says, the top malicious email attachment types are .doc and .dot which make up 37%, the next highest is .exe at 19.5% These are not just facts but they are warnings! Everyone who is accessing a device should be aware of their security and that is why we have designed this course. Okay, here comes the next question. UM, OKAY! BUT WHY SHOULD I ENROLL FOR THIS COURSE? The perfect answer to this question would be - Have a look at our curriculum. THE FUNDAMENTALS OF CYBER SECURITY, is the first part of our CYBER SECURITY SPECIALIZATION. In this course, we have covered right from the basics of computer networking to the advance concepts such as cryptography, security auditing, incident management. Yes, we have actually started from the definition of a Computer Network. Our course is broadly divided into seven sections. In the first section we have covered the basics of networking. We have discussed different protocols and their usage. We have talked about IP addresses and their classes and a lot of things which are important from the point of view of cyber security. Bonus Material - We have included practicals also! From the second section we are actually talking about cyber security. Right from the history of cyber security to different terminologies have been discussed in this section. We have designed the curriculum in such a way that even a novice can understand cyber security and we are so sure that this course would actually give a better idea of cyber security. You will learn about critical thinking and its importance to pursue a career in Cyber security. You will also learn about organizations and resources to further research cyber security issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cyber security or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. We recommend you to watch our introductory video where we have discussed the entire syllabus :) Have a look at few highlights from our course. Handpicked curriculum, specially designed for all levels of learners. Continuous assessment through challenging quizzes Get your questions answered within 48 hours A variety of resources such as useful links, books, PDFs are also provided Regular updates related to cyber security Exploration of different aspects of Cybersecurity Practicals are also included along with theory You will understand how cryptography works in real life Concepts such as firewalls, antivirus, cyber attacks are also discussed and Many more. We encourage suggestions WHO CAN ENROLL FOR THIS COURSE? This course is not intended for a specific group of people. Anyone who wants to learn about cyber security can enroll for this course. If you already know about security, you can always revisit the ideas and clear your doubts if you have any. We have not only covered the technical topics but also included all the statistics as well. For example we have discussed the scope of cyber security along with the career insights and also the salaries of different job roles in this field. This course will help you to decide whether you want to become a Penetration tester or security auditor or Red Team Specialist. In short, this is the perfect course if you want to kick start your career in cyber security! BOTTOM LINE - Once you move ahead in this course, you will get a clear idea about cyber sec. The way we have put all the things together helps the learner in creating an interest in this field. We would like to assure one thing to you - THIS COURSE WILL LITERALLY TELL YOU EVERYTHING ABOUT CYBER SECURITY. Happy Learning! Less
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[100% OFF] Practical Django With Python | Launch Your Startup Today Free

Hi ! i'm a freelancer from India you might have... More subscribed to online courses earlier which mess up with lot of boring theory explanations, and this course is completely different.we will learn the amazing framework(django) practically, it just turns your idea into a startup django is a kind of framework, where we can do the same thing in different ways, so as per my freelancing experience i will choose only one way to do a particular task. so in this course i will be explaining you my best practices that i do instead of explaining all the possible ways .this is the reason i reduced this course from 24 hours to nearly 4 hours removing all unnecessary stuff, this is just to make you learn quicker. everything is explained in simple English, instead of using Hi-Fi vocabulary and technical terms. so that it will be completely beginner friendly. 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] 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
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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
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[100% OFF] Learn Creational Design Patterns in Java Free

Design patterns provide a template for writing qua... Morelity code. Knowing which design pattern to use in which scenario can be challenging but will make you a master Java programmer. In this course you will take a deep dive into creational patterns, which can help you create more flexible, reusable objects. I will be covering the six most popular creational patterns— Builder, Telescoping Constructor, Singleton, Prototype, Factory and Abstract Factory as well as concepts such as multithreading, mutability, inheritance and Java Heap and Stack workings. I will provide example use cases, complete with implementation instructions and tips for avoiding the unique challenges posed by each pattern also explain how do design patterns work inside Java Heap and Stack Memory. By the end of this course, you'll be equipped with the knowledge and skills necessary to implement each design patterns in your Java projects. Learning Objectives: What are creational design patterns? How to avoid complex constructors? Implementing the Builder pattern Implementing the Telescoping pattern Understanding similarity between Builder and Telescoping pattern Best interview answers for Singleton pattern Questions. Also get a practical idea about the advance concepts such as serialization, cloning, multi-threading and reflection Problem and Solution of Multi-threading with the Singleton pattern Implementing the Prototype pattern Best interview answers for Prototype pattern Questions. Implementing simple Factory pattern Implementing Abstract Factory pattern Who this course is for: Java Developer Java Developer curious about design patterns Java Architect Nail your Java Interviews Web Application Developers Industrial experts API Developers Tech Architects Less
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[100% OFF] Flask Framework Complete Course For Beginners Free

Flask is a popular Python web framework. The tutor... Moreials in this section are intermediate to advanced tutorials that cover key aspects of Flask development. *Flask Framework: Flask Web Framework, In this course, you will learn the fundamentals of web applications .so that you can start building API and develop web applications using Python Flask Web Framework. How to build Python web apps with Flask How to use the Jinja template language to create the look of your apps How to use the SQLite database to start development How to use other databases with Flask by using Flask-SQLAlchemy Using Flask to process incoming request data. Course Overview Flask Framework - URL Building Flask Framework - HTTP Method Flask Framework - Templates Flask Framework - Static Files Flask Framework - Request Object Flask - Request.from Object Flask Framework - Cookies Flask Framework - Session Object And More... Less
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[100% OFF] Master MERN Stack by Building Complete Blog Project [2020] Free

Best way to learn new skill is learning by practic... Moree. Welcome to the "Master MERN Stack by Building Complete Blog Project" where we will be building complete blog application using MERN Stack (Node.js, Express, React, Redux and MongoDB). Through the course you will learn how all these different technologies work together. The course is completely a practical hands on project course for building full stack projects using MERN Stack. Because this is a "learn by doing" course, you should be familiar with basics of React, HTML, and CSS. No other knowledge is required. If you successfully complete the course, you will be able to build your own MERN stack application using the best practices tought throughout the course. What will you get at the end of the course? ⦁ You will have Complete Blog App as a portfolio ⦁ You will know implementing CRUD (create, read, update, delete) ⦁ You can covert any HTML&CSS into React application ⦁ You can integrate React with any back-end in an smooth way ⦁ You will know how and where to use React Hooks ⦁ You can use Redux for app state management ⦁ You can create reducers and actions ⦁ You will integrate Redux with React Hooks ⦁ You will know how to debug and test Redux Chrome extension ⦁ You can build an complete backend API with Node.js & Express ⦁ You can deploy to Heroku using Git ⦁ You will know how to test API with Postman What are some app functionalities? ⦁ All Posts ⦁ Featured Posts ⦁ Trending Posts ⦁ Fresh Stories ⦁ Commenting ⦁ Single Post Page ⦁ Posts by Category ⦁ 404 Page The course is for all skill levels and experiences. It does not matter, whether you are developer who is currently learning MERN stack or it is just your first project with these technologies, this course is just for you. All this just for a price of a typical breakfast at restaurant! So, it is the best time to invest into yourself and learn a skill which can boost you career and salary! Who this course is for: Developers who wants to learn how to build and deploy a full stack MERN application Developers who wants to learn React front to Back Developers who wants to build API with Node JS & MongoDB Less
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[100% OFF] Decision Trees, Random Forests, AdaBoost & XGBoost in Python Free

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

PHP levels up! The world’s favorite back-end pro... Moregramming language now gets a new version packed with new features and significant upgrades. PHP is touted as the de facto language for server-side scripting in app development and even websites. The popularity of the language has also made it extremely useful as a general-purpose programming language. The latest version gets a huge boost in terms of performance, speed, new scalar type declarations and even a new operator. The performance and speed boost comes from the new turbocharged Zend Engine 3, which also allows PHP7 to consume half as much as memory as PHP5 and support more component users at the same time. In addition the new engine, other changes to PHP7 include replacing fatal- or recoverable-level legacy PHP error mechanisms with object-oriented exceptions, inclusion of left-hand-side expressions, unmaintained or deprecated server application programming interfaces (SAPIs) were removed, list() operator now includes support for strings, new language features such as return type declarations for functions, and support for the scalar types in return type and parameter declarations. With so much power under the hood, it is no wonder a lot of developers are shifting to PHP7. With this course, you too can learn how to supercharge your apps and websites. Our complete PHP 7 guide is the perfect course to get you started with the amazing features included into the already powerful programming language. It comes loaded with everything you need to know to upgrade to the fancy new iteration. The course will cover not only the fundamentals of PHP 5, but will also familiarize you with the new features and changes in PHP 7. These new additions may not seem like much, but they will improve your coding by four fold, especially ones such as unserialise function (which will accept another optional parameter) and password hash function (that now automatically generates a secure salt, rather than accept a given salt). The PHP 7 tutorial also includes breaking down features such as the new spaceship operator, Throwable Interface, Handling Fatal Errors, Generator Delegation, Anonymous Classes, Fetching Data & Error Handling and so much more. That’s not all. Some sections even includes quizzes to help you test your understanding and a project that will allow you to become comfortable coding in PHP 7. In this course, you will learn: Introduction to PHP, its fundamentals and its environment What is new in PHP 7 and how it differs from PHP 5 New features such as spaceship operators, error handling, new declarations, new classes, new functions, etc. Fully design a GoodQuotes app project that will allow you to add, edit and remove data Less
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[100% OFF ] HANDS ON DOCKER for JAVA Developers Free

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[100% OFF] The Complete Networking Cisco CCNA Free

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[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
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