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[100% OFF] Complete Machine Learning with R Studio - ML for 2020 Free

You're looking for a complete Machine Learning course 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

[100% OFF] The Art of Doing: Master Networks and Network Scanning

Go from entering "nmap 192.168.1.0/24" t... Moreo UNDERSTANDING the command 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] SVM for Beginners: Support Vector Machines in R Studio Free

You're looking for a complete Support Vector Machi... Morenes course that teaches you everything you need to create a SVM model in R, right? You've found the right Support Vector Machines techniques course! 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 Support Vector Machines. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through SVM. 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. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy 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 SVM technique from Beginner to Advanced in short span of time Less
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[100% OFF] Apache kafka™ - A Complete Hands-on Kafka Developer's Guide Free

Apache Kafka has become the leading distributed da... Moreta streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart, and LinkedIn. To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required. If you look at the documentation, you can see that Apache Kafka is not easy to learn... Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone. We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka. At the end of this course, you'll be productive and you'll know the following: The Apache Kafka Ecosystem Architecture The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more! Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux Learn and Practice using the Kafka Command Line Interface (CLI) Code Producer and Consumers using the Java API Real-world project using Twitter as a source of data for a producer and ElasticSearch as a sink for our consumer Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news! Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka. Who this course is for: Developers who want to learn the Apache Kafka Fundamentals, start a cluster and write their first application Architects who want to understand how Apache Kafka fits into their solution architecture Anyone looking to learn the full theory of how Apache Kafka works as a distributed system Less
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[100% OFF] Python for Beginners - Learn Python Programming in Hindi Free

Head into the world of Python Programming, easy an... Mored detailed. Build your own applications, right from the basics! Less
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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. 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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. 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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] Azure Kubernetes Service - AKS Free

Learn how to create and manage Kubernetes using on... Moree of the leading managed services on the market. Azure Kubernetes Service Zero to Hero admin guide is an intermediate course which describes: Comparison of Managed vs self-managed Kubernetes solutions; Pros and Cons of Managed Kubernetes services; AKS Capacity Analysis; Detailed AKS network architecture; How to create an AKS cluster using Azure Portal and Azure CLI; Integrate AKS with Active Directory; Create Kubernetes users using self-signed certificates; How AKS creates and manages Azure storage resources; AKS monitoring and log debugging. Who this course is for: Fearless Kubernetes administrators. Less
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[100% OFF] How to build successful project strategy Free

You're in the right place. You can learn through t... Morehis course how to start, build and implement successful project strategy. You will get advice how to measure and follow-up your project strategy. This will certainly make your current or coming project successful from the beginning. This course will help you 1. Understand project strategy principles 2. Start your project strategy from zero, linked to enterprise expectation 3. Build successful project strategy according to planned objectives 4. Implement planned and selected strategy into practice 5. Measure your success, recognize problems before failure 6. Avoid mistakes from start until end. Have you had problems in your project scope, schedule or budget? Have you ever thought there could be better ways to success in projects? Enroll this course to learn more, be more successful and take your projects into next level. It's important to understand both enterprise and project KPIs (Key Performance Indicators) and how they link to each other for expected outcomes. Project management is a function which will glue together many departments, teams and people for desired outcome. To make your project successful it needs to be strategic. This course is designed for beginners and more advance project managers or project members. It will also help stakeholders like sponsors to understand how projects fail or success. You can take tips and tricks from this course into your toolbox and create a success! Enroll today! Who this course is for: Project team members Project managers Project sponsors/other stakeholders Less
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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] Adobe Illustrator CC 2020 MasterClass Free

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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] GraphQL from Scratch - Realtime MERN Stack with React Node Free

Learn GraphQL from Scratch with MERN Stack (Mongo ... MoreExpress React Node) and Firebase to build Truly Realtime Web Apps. So if you are looking to Build Lightning Fast Realtime Web Apps using GraphQL with MERN Stack, don't waste your valuable time wandering around and trying to learn it from 10 different resources. I have packed everything into this course for you to fully understand all the practical GraphQL concepts... from basic to advance. Ready to go FullStack GraphQL with Node React MongoDB Firebase Authentication CRUD Realtime Subscriptions Deployment and more Join me :) Less
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[100% OFF] The Self-Taught Programmer

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[100% OFF] Data Structures And Algorithms In The C Programming Language Free

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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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