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[100% OFF] Mastering CSS Grid 2020 - With 3 cool projects Free

CSS Grid is a relatively new and unused concept to CSS. It's very important these days that our layouts are simple to maintain, and easy to adjust based on the dimensions of our device. CSS grid simplifies this process over other existing strategies. In this course we take you deep into how to build a variety of different layouts in CSS Grid. We cover the following:- All the properties in CSS Grid, how they work, and any gotchas that you may not be aware of when using them. Alignment and how it works in CSS Grid, including the alignment of tracks and grid items at the grid container level. We also show you how to override alignment at the grid item level. The basics of responsive web design, such as media queries and how they work with mobile / tablet etc. Grid areas and how it helps simplify responsive web design The concept of implicit and explicit grids and what the differences are A deep look into the Autoplacement algorithm Animation at a high level and what works currently with CSS Grid How to convert some layouts in Flexbox to use CSS Grid instead When to use Flexbox over CSS Grid Once we cover all of these concepts, we then go about showing you some basic layout problems and how they can be solved. This includes:- Column based layout Basic Sidebar layout Vertical Text alignment Modal alignment Stick footer layout Formatting form fields And hopefully in future much more. We then look at some advance layout topics such as:- The Holygrail layout The Media Objects layout A Viewport Friendly Image Gallery A Responsive Image Gallery An Animated Sidebar A Monthly Calendar layout A Newspaper Cover layout A Responsive Twitter Clone Layout A Responsive Movie Gallery Then if you haven't had enough, we have 3 real life application examples that will give you the experience you need. They are:- A Chat UI interface An Uber Eats Clone Responsive Application A YouTube Clone Responsive Application Who this course is for: Web Developers Web Designers User Experience Designers Front End Developers Full Stack Developers

[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
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[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
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[100% OFF] Python Ethical Hacking : Build tools for ethical hacking Free

Python is one of the most used programming languag... Moree in the world and its significance can't be ignored. Python has gained immense popularity recently owing to its performance in various fields like machine learning, data science, data analytics and cyber security. This course is designed in python to make ethical hacking easier for students since python is one of the most easy programming languages to learn. The concepts used in this course are fairly simple and anyone with some knowledge of computer science can try this course. In this course we will learn following topics: Introduction to basics of computer networks What is hacking How to stay anonymous Learn how to track IP location Create your own undetectable malware Execute system commands on the victim machine using backdoor Download and upload files to victim machine How to create a Trojan How to steal wifi passwords stored on the PC How to intercept, manipulate and craft network packets How to perform man in the middle attack Crack password protected zipped files Build your own undetectable key logger Create a botnet with a command and control center How to protect yourself online 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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[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] Complete Python Bootcamp for Data Science& Machine Learning Free

This comprehensive course will be your guide to le... Morearning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! Enroll in the course and become a data scientist today! Less
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[100% OFF] The Complete 2020 PHP Full Stack Web Developer Bootcamp Free

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

Henry Harvin v/s Rest of the World: Why I Enroll H... Moreere? #1: Learn to develop Research Paper & Earn Online! #2: Skill to Research and Translate into Reports #3: Experience of Professional Research Paper Writing #4: Develop essential Language Skills for Research Paper Writing for International Clients #5: Website Making Skills to create Basic Website and Personal Blog #6: Graphic Skills to design Newsletters, PPT, Logo etc #7: Gain Advanced Research Skills that enables to Write on Any Topic #8: Skill to Identify Target Audience Persona for your Content #9: Know how to Get Freelance projects from India, US, UK and avoid risk of bad debt in international payment Broadly, What is the Course Curriculum? Module 1: Essential Skills Module 2: Language Skills Module 3: Internet Skills (Research, Keyword Planning, Graphic, Website Making) Module 4: Research Paper Writing Why Learn Content Writing on First Place? Following are the Top 8 Target Groups who learn content writing. Checkout below why they learn! Digital Marketers / Marketers / Sales / Business Development professionals eradicate the problem of saturation and poor growth in career by leveraging upon the new skillset gained through this course Existing entrepreneurs/business owners can scale up their business to next level by penetrating into new markets, audience segments, geographies and products through the power of content and internet Professors / Teachers / Trainers acquire necessary skills to showcase their proficiency on the internet, develop new content types, gain recognition online, build alternate source of income etc Bloggers / Content Writers get a tangible proof to showcase their existing proficiency, diversify to new content types and learn new things Housewives / Retired / Unemployed individuals can start earning decent amount based on part-time/fulltime/ work-from-home/freelance opportunities available in abundance Aspiring entrepreneurs can start their startup journey by leveraging on skills gained through this course Professionals / Corporates can brand themselves as industry thought leaders and domain experts by start writing on their subject at public forums, blogs, social media etc Students get the opportunity to acquire Internships, Placements and Projects based on their professional content writing, marketing and strategy skills. Additionally, they can start earning full-time/part-time by taking up freelancing projects, work-from-home projects and can start working on their entrepreneurial journey Who this course is for: Digital Marketers / Marketers / Sales / Business Development professional Existing entrepreneurs/business owners looking to scale up their business Professors / Teachers / Trainers Bloggers / Content Writers Housewives / Retired / Unemployed individuals Aspiring entrepreneurs Professionals / Corporates Students Less
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[100% OFF] The Self-Taught Programmer

The Definitive Guide to Programming Professionally
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[100% OFF] Search Engine Optimization for Websites - SEO Basics Free

This course will teach students every thing about ... MoreSEO in 40 minutes and make them perform SEO by using the best practices. What's more this SEO course is built to stand the test of time...keep reading to find out why! "Short and essential" "Really engaging, like the way you explain all the little things, good for us beginners!" "Struggled with these concepts before this course. Thank you for explaining it so simply" "Great course by a great instructor." Who this course is for: Students desiring to learn SEO People who want to perform on their websites to increase traffic Less
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[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
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[100% OFF] Complete Digital Marketing Course in Hindi with Google Free

Best Complete Digital Marketing Course in Hindi wi... Moreth Google (2020). If you want to learn from Basic to Advance Complete Digital Marketing Course in Hindi With Google & want to become an internet marketing expert and learn digital marketing strategy. SEO in Hindi, Social Media Marketing in Hindi, SEM, Google Ads in Hindi, YouTube marketing, Email, TikTok Ads India in Hindi & TikTok Marketing, Facebook Marketing in Hindi, Copywriting, content marketing, video marketing, quora marketing & Inbound marketing. This is one of the most comprehensive digital Marketing Courses in Hindi With Google available in India. We'll cover: Email Marketing. Build a mailing list of 1000 individuals in 30 times from scratch. Advertising is the action of sending a message, normally using email. In its broadest sense, each email delivered to a current or prospective customer might be considered advertising. It entails using email ask an organization to send advertising, or solicit donations or sales. Copywriting. Register ring! Copywriting is a job or the action of composing the text for the purpose of advertisements or other types. The product is articles which aim to boost brand awareness and finally convince a team or a person to choose a Specific activity SEO (Search Engine Optimisation) in Hindi. Get free visitors. Search engine optimization is the practice of raising the quality and amount of traffic by boosting the visibility of even a web site or a site for users of search engine optimization. YouTube Marketing. Drive traffic & sales with a simple "how-to" videos. Social Media Marketing in Hindi(Instagram, Facebook, Twitter, Pinterest & Quora). Linkedin Marketing. Go viral on Linkedin and 400x your connections. Google Adwords in Hindi. Avoid common mistakes and set up profitable campaigns the first time. Facebook Ads in Hindi. Make money with Facebook Ads without spending a fortune. Google Analytics. Improve your marketing with Google Analytics data. Quora marketing. Learn how to use quora for traffic n marketing. TikTok Ads India in Hindi & TikTok Marketing Learn how to run ads on TikTok ads India 2020 in Hindi and how to use TikTok ads India in Hindi & TikTok Marketing in Hindi for your business Covering 11 major online marketing topics and comprising of 21+ hours of clear cut lectures & practice activities - this Digital Marketing Course in Hindi With Google is "incredible value for money!" as one student said. Google Digital Marketing Courses in Hindi are intended to guide students and marketing professionals & make them learn Digital Marketing channels, strategies, and related practices that can help them channelize and optimize their digital marketing Google campaigns. By the end of this course, you will be confidently implementing digital marketing strategies across the major online marketing channels. Students who wish to know how to learn digital marketing & embrace the Google Online Marketing Challenges are urged to finish the digital marketing course in Hindi with Google. An individual may shell out so many bucks on these Google Digital Marketing Courses in Hindi but to appear for the exam, basics must be clear. Various skills that entrepreneurs understand within this google Digital Marketing allow them to construct a profitable profession in digital marketing. Google Digital Marketing and advertising classes help entrepreneurs learn ad-words and thus place up them to that Google companions ad words Certification assessments. It'd be perfect for those who have a while to complete the actions listed before starting up the Digital Marketing Course in Hindi With Google Primarily, you have to make certain you're signed in your Google Account before you start out. You ought to really be signed-in to your Google Account remember the ending aim to access the majority of these Digital Marketing Course in Hindi With Google However, on the off Possibility That You're choosing the Google Ad Words Certification Examinations, You'll Need to Produce a Google Companions account' Just to give you an insight, Digital Marketing is an amalgam of Marketing through various online channels. These channels primarily include Search Engines, Social Media, and E-Mails. The Google digital marketing course in Hindi useful resource which is going to help one to increase your electronic consciousness and allow one to know digital-marketing within the best method. It's the one stop go shopping to get acing electronic marketing and advertising skills free of these Google digital marketing courses in Hindi on sets from the hunt for search engine optimization to social media marketing, that will aid you to increase your own internet organization or electronic marketing and advertising livelihood. Google's electronic un-locked system is totally free, and also you simply have to signup. When you accomplish so, soon you'll begin receiving your online understanding strategy of all-around twenty-three digital marketing issues. You are able to easily finish your Digital Marketing Course in Hindi With Google approach by viewing the course and also assessing your comprehension along with pleasure and rapid quizzes. Once you'd have completed your program, you can unlock the certificate questions. When passed, it is simple to download your certification too. This Digital Marketing Course in Hindi With Google could be your optimal/optimally in shape for people looking for work and seekers that want to learn how to find digital promotion. It's believed better for those people that want to start at digital-marketing and wish to hone their electronic marketing and advertising abilities with certificates to create their CV extraordinarily. Digital Marketing Course in Hindi With Google makes it possible to determine inexperience plus you'll be able to watch diverse video lessons out of regular DM pros of Google. Digital un-locked comprises The Primer program that produces 5-minute electronic marketing and advertising courses from Hindi and English that'll allow you to learn to initiate a firm, develop a site, perform search engine optimization, conduct on the web advertising, and much more. It provides free google-analytics certificates for people who finish. With Digital Marketing Course in Hindi With Google, you will find it easy to accomplish those certificates. All the strategies, tips and tools recommended are either free or very cost-effective. You'll Also Get WHEN YOU ENROLL IN THE DIGITAL MARKETING course: ✔ Lifetime Access to course updates ✔ Fast & Friendly Support in the Q&A section ✔ Udemy Certificate of Completion Ready for Download ✔ 30-Day 100% money-back guarantee - no questions asked! This digital marketing course in Hindi With Google is having the following bonuses Complete Digital Marketing Course in Hindi With Google with simple & easy language Downloadable checklists to keep you on track Downloadable guides to help you take action Case Studies to show you behind the scenes of our strategies GET READY TO TAKE ACTION Throughout the entire course, you'll be taking action! You'll learn the proper techniques and strategies for each section. Then you'll see how these strategies are used in the real world with case studies. Finally, you'll take action yourself, and see real results! BY USING THIS DIGITAL MARKETING COURSE IN HINDI With Google YOU CAN GROW YOUR BUSINESS! Whether you're completely brand new to all of these topics, or you use a few of them, now is the perfect time to take action. Enroll now so that you can take advantage of the skills you learn to grow your business! Digital Marketing क्या है? ऑनलाइन और इन्टरनेट के माध्यम से किसी प्रकार के उत्पाद (Products) अथवा सेवाओं (Services) का प्रचार एवं प्रोत्साहन करने की प्रक्रिया को ही Digital Marketing कहा जाता है! इसे आप एक प्रकार की कला (Art) और योजना (Strategy) कह सकते हैं! जिसका उपयोग कर ऑनलाइन मार्केटिंग किया जाता है! Who this course is for: Entrepreneurs, business owners, bloggers, YouTubers, social media fans Website owners who want to increase web traffic, conversions, and sales Business owners who want to use digital marketing (social media, content marketing, YouTube, and many other strategies) to grow their business Anyone wanting to do your own marketing - and not waste money Who this course is for: This Digital Marketing Course in Hindi with Google is best for Students, Entrepreneurs, Business owners, Bloggers, YouTubers, Social media influencers or Digital Curious हिंदी में सीखने जिसे जायदा समझ आता हो Website owners who want to increase web traffic, conversions, and sales This Digital Marketing Course in Hindi is best for Business owners who want to use digital marketing (social media, content marketing, YouTube, and many other strategies) to grow their business Anyone wanting to do your own marketing - and not waste money This Digital Marketing Course in Hindi With Google is best for Youth who wants to start career in Digital Marketing Freelancer or Part Time job seeker 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] The Complete Full-Stack JavaScript Course! Free

If you would like to master JavaScript and get sta... Morerted as a full-stack web developer, you are going to LOVE this course! Learn full-stack JavaScript development working on coding projects using ReactJS, NodeJS, LoopbackJS, Redux, Material-UI and socket programming. We will work on the following 3 coding projects in this course: Calculator Application - We will go over the basics of what React is, how to create components and how to work within the React life-cycle. Weblog - We will build a feature rich blog app using React and LoopbackJS. We will begin to explore the full-stack elements of JavaScript by coding our own REST API, and how the front and back-end can communicate with each other. Chat Application - We will explore socket programming. With a web socket you can keep clients connected on the server side. We will program a chat app where you can create a user account, add other users and then message back and forth with them. This course was designed for students who have a basic understanding of front-end web development. It will be helpful if you know how to use HTML and CSS. A basic understanding of JavaScript is not required, but it will help you get up to speed with the tutorials. All of the lectures are downloadable for offline viewing. English captions are available within the course. Thank you for taking the time to read this and we hope to see you in the course! Less
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[100% OFF] Java Parallel Computation on Hadoop Free

Build your essential knowledge with this hands-on,... More 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 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] Projects in R: Learn R Creating Data Science Projects Free

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

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

If you want to learn ethical hacking the fun and e... Moreasy way like playing a computer game, then this course is for you. There exists on the Internet several websites which allows people to hack and learn hacking. These websites typically have different levels from easy to advanced. By hacking each level and gradually levelling up, you will learn hacking. Traditionally, ethical hacking is taught by installing virtual machines on your PC and hacking the virtual machines inside your PC. This way of learning hacking can be pretty boring as there are no challenges or rewards. Also it can be quite laggy unless you have a high end machine. In addition, some people find learning Linux and installing virtual machines too troublesome. In this course, I will show you an alternative way, which is more fun and where you will enjoy the thrills of hacking real websites legally and solving each level and going from easy and gradually to more advanced levels - just like paying online games. The website we will be hacking is HackThisSite!! which is a popular hacker's playground where hackers play hacking games reminiscent of CTF (Capture the Flag) and learn at the same time. However, without some help and guidance you will find it quite challenging. Hence this course. I will walk through each level from Basic to Realistic You do not need to go through the hassle of installing virtual machines or Linux on your computer. All you need is a PC. In this course I am only using a Windows PC to do hacking. Great way to learn Web Development & Information Technology (IT): If you had always wanted to learn HTML, Javascript, PHP, MySQL, etc, what better way than to learn how to hack. So, I invite you to learn to hack and in the process, you will also learn web development and IT. This is much more fun & exciting than learning it the traditional way - the boring way through formal IT courses and books. You will be killing 2 birds with one stone, i.e. learning how to hack and also learn IT. So let's get started in your journey of hacking to learn. Bug Bounty: Last, but not least, the site creators of HackThisSite encourage you to literally hack their site to explore the security of their site and they will reward those who responsibly disclose their exploit with an entry into the HackThisSite hall of fame. This course is backed by a 30-day money back guarantee. So, go ahead and enroll in this course now and start hacking the fun and easy way! Who this course is for: Web developers who have no knowledge on hacking Students who want to learn hacking the fun way by hacking real websites (legally) Those who enjoy computer games and want to try hacking as a game Less
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[100% OFF] CSS Flexbox Quick introduction to using FlexBox CSS style Free

Explore more about using Flexbox with examples and... More 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 Less
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70 used, 100% success rate