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

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

[100% OFF] The DevOps Way - A School for Mastering DevOps Free

A practitioner's guide to understanding DevOps inc... More. DevOps Culture, Engineering, CI/CD, DevSecOps & Enterprise DevOps 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] Oracle SQL : Practical Examples : Go from Beginner to Master Free

***SQL course which gained immediate popularity wi... Moreth the launch on UDEMY*** ============================================================================ ***Continuously being updated with new topics/videos every week*** ***Added lecture SQL vs NOSQL*** > 19 Dec 2019 (under Interview Section) ***Added Interview Section*** > 15 Dec 2019 *** Added lecture Most Important SQL Queries*** > 15 Dec 2019 ***Added lecture What is VIEW?*** > 15 Dec 2019 ============================================================================= You need to learn the most important and powerful language of the database world - SQL which makes your programming skills complete and enriched in just less than 20 hours of study! If you have already wasted your time and money in hunting for a complete yet concise course in SQL through random youtube videos or offered by inexperienced people - then you are at the right place here. This course brings step-by-step lessons in its logical series of videos to help you master the art and science of SQL. Moreover there is not even a basic knowledge of programming envisaged while designing this course. This course has been brought by an highly experienced faculty who have had 20+ years of experience in working as Oracle developer and DBA out of which 6 years onside in USA and UK. The faculty has been working in Oracle field ranging from Oracle version 6 to the latest 19C. This course is for everybody who likes to make career in database programming, front end programming, ERP, or in general succeed as an IT professional, management people and undergraduate students of any stream. This course is covered on Oracle's LiveSQL platform available on web hence does not require any local installation of Oracle, yet the students can practice on latest version, the current is Oracle 19C. Being on web, students can learn, take notes or do practice sitting anywhere as Oracle LiveSQL is accessible on all the devices - PC, Laptops or even Mobiles. Who this course is for: Students interested in database back end programming Programmers in any other front end language like Java or PHP or Python etc, must learn SQL Engineering students, Computer Science students, Science / Commerce students - All pursuing UG or PG or completed with degree Management people who are required to draw ad-hoc data as per requirement Less
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[100% OFF ] HANDS ON DOCKER for JAVA Developers Free

This course is a 100% HANDS ON course for Java Ent... Morehusiasts who want to use DOCKER To Build->Ship->Run Java Apps using Docker and want to learn thru 10+ real world hands on use cases. This course is optimized for the busy professional with real world use cases examples and problem solving. The student registering for the course should be able to dedicate time towards Hands on labs to get a clearer understanding on how to use docker. Docker Version: 18.03.1-ce, JDK 8 Learn to build real world apps using Java and Docker with Microservices using the Spring framework, JQuery, Bootstrap and much more.... T Apart from the theoretical aspect here are the HANDS ON LAB Exercises which will be covered MICROSERVICES using Docker . Build a Spring MVC and MYSQL RESTFUL MICROSERVICE, Scale a micro service with multiple containers Build a Proxy Servlet, a filter with a Spring MVC app backed by MYSQL to load balance the requests between containers. Learn what the real world problems are and how Docker attempts to solve real world use cases. Learn to Run WEB Apps on Apache HTTP and NGINX Web servers in Docker as containers. Learn to run Simple Java Programs developed using JDK8 using Docker Create a sample Spring MVC Web App running with a bootstrap and JQUERY UI and run it using Docker Learn about Docker machines and Docker compose Upload your code to DOCKER HUB and share your Docker images for deployments with peers Less
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[100% OFF] Complete Machine Learning with R Studio - ML for 2020 Free

You're looking for a complete Machine Learning cou... Morerse that can help you launch a flourishing career in the field of Data Science & Machine Learning, right? You've found the right Machine Learning course! After completing this course you will be able to: · Confidently build predictive Machine Learning models to solve business problems and create business strategy · Answer Machine Learning related interview questions · Participate and perform in online Data Analytics competitions such as Kaggle competitions Check out the table of contents below to see what all Machine Learning models you are going to learn. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics 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 the most popular techniques of machine learning. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through linear regression. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. 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 3 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 models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use R for Machine Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R 1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Less
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[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] Learn SQL for Beginners: The Comprehensive Hands-on Bootcamp Free

Learning databases and database theory can be easy... More if you have the right teacher. This university level course will give you a solid understanding of how databases work and how to use them. In the course, we will be using PostgreSQL which is one of the top two databases most demanded in industry. This course will advance your skills as a developer. This course is very practical and applicable. It focuses on teaching you skills you can use. Presented with high-quality video lectures, this course will visually show you many great things about relational databases and PostgreSQL. This course is taught by two teachers. One of your teachers is a tenured professor in California. Your other teacher is a Professional Developer. Both of these teachers will be on screen, sharing their wisdom and knowledge with you. This is just some of what you will learn in this course: Learn to succeed as a student Master database fundamentals Build a database for tracking movie rentals Understand schema, data hierarchy, and normalization Learn validation, data integrity, and ACID transactions Master using key fields and ensuring referential integrity Learn how to do SQL commands at the terminal and in code editors Solidify concepts with abundant hands on exercises which also have video solutions provided Acquire the ability to read PostgreSQL database documentation Learn how to install PostgreSQL on Windows, Linux, and Mac Master building databases, tables, and relationships between tables Master creating, reading, updating, inserting, and deleting records Gain the ability to do subqueries and aggregate functions Master using grouping, having, limit, fetch, and offset Learn how to use JSON inside SQL using PostgreSQL Master joins to query multiple sets Master filtering records in queries MASTER SQL & PostgreSQL! This is an amazing course! This course will change your life. Being skilled at using relational databases and SQL will serve you and your career well. This course will increase your proficiency, productivity, and power as a programmer. You are going to love this course and it will forever change your life. Your satisfaction is guaranteed with this course. Join us now and enroll! Who this course is for: This is a first semester university level SQL database course. This course is ideal for beginners wanting to learn databases & SQL programming. 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] The Complete Guide Angular 8 for Java Developers 2020 Free

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

Although this course is for beginners, the knowled... Morege it provides is really advanced. It is full of tips and tricks as well as tested methods that will make you an expert in digital marketing and online advertising. Its curiculim includes: Blogging Social Media Google Ads SEO Google Analytics E-commerce Optimization Conversion Optimization Each section of the course is a step by step guide that not only gives you usefull instructions about the topic it addresses but also tried methods that you can easily use to bring profits to your business and to be a successful digital marketing professional. Less
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[100% OFF] The Self-Taught Programmer

The Definitive Guide to Programming Professionally
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[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] Machine Learning with Jupyter Notebooks in Amazon AWS Free

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

This AWS Certified Solutions Architect Associate P... Moreractice Exam Course covers EVERYTHING you need to pass the exam on your first try About this Practice Exam: With the help of this practice exam for the Certification of AWS Certified Solutions Architect - Associate, students will gain the Practice test of SAA-C01. The training test, in view of the real test, includes 390 inquiries. In the genuine test, you will be required to finish these inquiries inside 130 minutes. Skills Measured: Effectively prove information on the most proficient method to deploy and architect robust and secure applications on AWS technologies Explain an answer utilizing engineering structure standards dependent on client prerequisites. Give usage direction dependent on best practices to the association for the duration of the existing pattern of the project This practice exam will prepare you for AWS Certified Solutions Architect - Associate Certification. Abilities Validated by the Certification Effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies Define a solution using architectural design principles based on customer requirements Provide implementation guidance based on best practices to the organization throughout the life cycle of the project Recommended Knowledge and Experience Hands-on experience using compute, networking, storage, and database AWS services Hands-on experience with AWS deployment and management services Ability to identify and define technical requirements for an AWS-based application Ability to identify which AWS services meet a given technical requirement Knowledge of recommended best practices for building secure and reliable applications on the AWS platform An understanding of the basic architectural principles of building on the AWS Cloud An understanding of the AWS global infrastructure An understanding of network technologies as they relate to AWS An understanding of security features and tools that AWS provides and how they relate to traditional services Who this course is for: AWS Developers Solutions Architecters Less
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[100% OFF] Learn to Code with Python 3! Free

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

A Comprehensive Guide for Beginners interested in ... Morelearning JavaScript, Bootstrap, & PHP Less
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[100% OFF] Java For Everyone - Zero to Hero free

Core Java, OOPS, Collection, Exception Handling, D... Moreesign Pattern. Core concepts of Java including Variables, datatypes, operators, control statements, arrays, packages, classpath, user-input and debugging Object Oriented Programming concepts with read life examples String with memory mapping Exception handling Java collections Design patterns And also you will learn how to debug code in eclipse. Less
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