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[100% OFF] Partnership Accounting Free

Partnership accounting will cover accounting topics related to a partnership form of business entity. This partnership course will focus on the accounting issues that are different in a partnership as compared to other types of entities like a sole proprietorship or corporations. As we focus on the differences, we always want to keep in mind the similarities in accounting for different business entities. Most of what we have learned about the double entry accounting system and day to day accounting transactions in prior courses will remain the same. We are concentrating on the areas that will different because the differences are where the new information lies. We will start by defining what a partnership is and comparing the characteristics of a partnership with other business entities. Understanding one business entity and its components are often best learned by contrasting them with the attributes of others, always considering the relative pros and cons, thinking of situations and circumstances that would benefit one form of business entity over another. The course will discuss the process for setting up a new partnership, typically starting with the partners contributing capital to the partnership, requiring us to record the contribution and the capital accounts. We will discuss the allocation of net income to the partners, one of the primary differences between a partnership type of entity and other types of entities. There is a lot of flexibility for net income allocation in a partnership, and this is one of its primary benefits. The course will cover the recording of partnership draws, how to record them, as well as the closing process for a partnership. The steps of the closing process will be much the same as those for any business entity except for the allocation of net income to the partners. We will consider the situation where a partner leaves a partnership or where a new partner is added. The transactions related to a partner leaving or being added is unique to a partnership entity. The course will cover a partnership liquidation process or closing process. The liquidation process is a very useful exercise for any entity because it allows us to do take apart a business. We have discussed the process of putting new busses together in prior courses, but to fully understand how something works we must also take it apart. The liquidation process is particularly important for a partnership entity because it emphasizes the capital accounts and the process necessary to reduce the likelihood of problems during the process. We also include a comprehensive problem designed to take a step back and consider all the similarities between business entities so that we can put the differences we have studied in this course into perspective. The comprehensive problem will cover the entire accounting cycle from entering journal entries and posting to the general ledger, to recording adjusting entries and creating the financial statements, to the closing process. The course also includes definition and key accounting terms related to partnerships. In addition to the instructional videos, this course will include downloadable • Downloadable PDF Files • Excel Practice Files • Multiple Choice Practice Questions • Short Calculation Practice Questions • Discussion Questions The PDF files allow us to download reference information we can use offline and as a guide to help us work through the material. Excel practice files will be preformatted so that we can focus on the adjusting process and learning some of the basics of Excel, like addition, subtraction, and cell relationships. Multiple choice example question helps us improve our test-taking skills by reducing the information into the size and format of multiple choice questions and discussing how to approach these questions. Short calculation questions help us reduce problems that have some calculation down to a short format that could be used in multiple choice questions. Discussion Question will provide an opportunity to discuss these topics with the instructor and other students, a process many students find very helpful because it allows us to see the topic from different viewpoints. Who will we be learning from? You will be learning from somebody who has technical experience in accounting concepts and in accounting software like QuickBooks, as well as experience teaching and putting together curriculum. You will be learning from somebody who is a: • CPA – Certified Public Accountant • CGMA – Chartered Global Management Accountant • Master of Science in Taxation • CPS – Certifies Post-Secondary Instructor • Curriculum Development Export As a practicing CPA the instructor has worked with many technical accounting issues and helped work through them and discuss them with clients of all levels. As a CPS and professor, the instructor has taught many accounting classes and worked with many students in the fields of accounting, business, and business applications. The instructor also has a lot of experience designing courses and learning how students learn best and how to help students achieve their objectives. Experience designing technical courses has also benefit in being able to design a course in a logical fashion and deal with problems related to technical topics and the use of software like QuickBooks Pro. Content Includes: • Process for setting up a partnership • The allocation of net income to partners • The recording of partner withdrawals • Recording the partnership closing process • Journal entries related to a partner leaving the partnership • Journal entries related to adding a new partner to the partnership • The liquidation process for a partnership • A comprehensive problem on the accounting cycle • Key terms definitions and explanations related to partnerships Who this course is for: Accounting students Business owner Anyone who whats to learn accounting

[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 Complete AngularJS Authentication 2020 | Certified Free

Authentication for traditional web applications is... More fairly straight-forward: we send our credentials to the server, a session is created, and a cookie is returned to be saved in the browser. This method works well for round-trip applications, but it isn't a good way to do authentication in modern single page apps, like those built with AngularJS. In this course we are going to learn about the challenges associated with traditional authentication and how to use what is arguably the best alternative: the JSON Web Token. Using that knowledge, we'll implement authentication in an AngularJS app that makes calls to an Express API. We'll cover how to address all the challenges associated with keeping a single page application in check when it comes to stateless authentication. This can be a tricky matter since the front end and backend apps are effectively separated, but we'll find out how to leverage our user's JWT to address the challenges. We'll use Auth0 as an identity and authentication server so that we don't have to roll our own. Who this course is for: Anyone that wants to learn AngularJS Less
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[100% OFF] Data Visualization in Excel: All Excel Charts and Graphs Free

What are the chart types I will learn in this cour... Morese? Excel offers the following major chart types. All of these are covered in this course Column Chart Line Chart Pie Chart Doughnut Chart Bar Chart Area Chart XY (Scatter) Chart Bubble Chart Stock Chart Surface Chart Radar Chart Combo Chart Pivot Chart Sparklines And many other creative ones :) How are charts useful in Excel? A chart is a tool you can use in Excel to communicate data graphically. Charts allow your audience to see the meaning behind the numbers, and they make showing comparisons and trends much easier. What are the benefits of using charts in Excel? Excel charts allow spreadsheet administrators to create visualizations of data sets. By highlighting a set of data within an Excel spreadsheet and feeding it into the charting tool, users can easily create various types of charts in which the data is displayed in a graphical way. This course will answer all the questions that would pop up while you set to visualize your data using Excel charts such as: How do you make Excel charts look better? How do you format a chart in Excel? What are the different elements of charts? How do I make those awesome infographics that I see in fancy magazines and TV reports? How do I create a comparison chart in Excel? What is the best chart to use for comparison? And many more... How is this course different from other resources available online? Most courses cover only teach how to draw different types of charts in Excel. The main point is missed. The main point of creating a chart is that you want to convey a message or tell a story using the chart. In this course, once you have learnt all the charting tools, you will also learn how you should create a chart. How you can highlight your message and avoid clutter in the chart, so that when your audience looks at the chart, the message is clearly conveyed to them. Who this course is for: Anyone curious to master charts in excel from beginner to advanced in short span of time 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] Complete MySQL Course: Beginner to Advanced

Complete MySQL course. Learn MySQL from scratch an... Mored go from beginner to advanced in MySQL. Less
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[100% OFF] Linux Shell Scripting: Bashing, Automating Commands, Updated Free

Welcome to this Comprehensive Linux Shell Scriptin... Moreg Laser Targeted Course "Updated”. In short, this is the one stop shop for everything you need to become a Master in Shell Scripting. With 70+ Long, but Laser Targeted Videos, over 21 packed hours, we will leave no stone unturned. Are you ready to start your path to becoming a Master in Shell Scripting and learn one of employer's most demanded skills for 2020 and beyond? This is by far the most comprehensive, yet condensed and straight-forward, course bundle for Linux Shell Scripting on Udemy! Whether you have never had any knowledge on Shell Scripting before, already know some basic skills, or want to learn about the advanced features of Shell Scripting, this is the course you are looking for! Don’t miss this Limited Time Offer. ACT NOW! You will Learn by Practice: By the end of this Unique Course, you will go from #Newbie to #Advanced as a #Shell_Scripting_Expert. Here is what you’ll learn: Chapter 01 - Introduction 0101 - About this Course 0102 - Course Structure 0103 - What is the UNIX Shell 0104 - Which Shell 0105 - What is a Shell Script Chapter 02 - Your First Shell Script 0201 - A Basic Script 0202 - The echo Command 0203 - The read Command 0204 - Shell Basics Revisited 0205 - Special Characters 0206 - Comments 0207 - Chapter Exercises 0208 - Exercise Solutions Chapter 03 - Running a Shell Script 0301 - Running a Script on the Command-line 0302 - Running a Script from within vi 0303 - Your PATH and bin 0304 - Script Interpreters 0305 - CGI Scripts Chapter 04 - Shell Programming Features 0401 - Shell Variables 0402 - Environment Variables 0403 - The Trouble with Quotes 1 0404 - The Trouble with Quotes 2 0405 - Grouping Commands 0406 - Line Control 0407 - Chapter Exercises 0408 - Exercise Solutions 0409 - Introducing the Course Project 0410 - Course Project Solution Chapter 05 - Conditional Code 0501 - True and False 0502 - Conditional Command Execution 0503 - The if Statement 0504 - The else Clause 0505 - The elif Clause 0506 - Using test 1 0507 - Using test 2 0508 - Using test 3 0509 - The case Statement 0510 - Chapter Exercises 0511 - Exercise Solutions Chapter 06 – Loops 0601 - The while Loop 0602 - break and continue 0603 - Numerical Calculations 0604 - The for Loop 0605 - Chapter Exercises 0606 - Exercise Solutions Chapter 07 - Text Processing 0701 - About Filters 0702 – grep 0703 - Regular Expressions 0704 – sort 0705 – sed 0706 - awk 1 0707 - awk 2 0708 - Chapter Exercises 0709 - Exercise Solutions Chapter 08 – Functions 0801 - Program Structure 0802 - Defining and Calling a Function 0803 - Function Parameters 0804 - Function Return Values 0805 - Functions in Other Files 0806 - Case Study- The yesno Function 0807 - Chapter Exercises 0808 - Exercise Solutions Chapter 09 - Command-line Parameters 0901 - Using Command-line Parameters 0902 - Using shift 0903 - Using set - - Command 0904 - Using IFS 0905 - Usage Messages 0906 - Chapter Exercises 0907 - Exercise Solutions Chapter 10 - Advanced Scripting 1001 – Debugging 1002 - Default Values for Variables 1003 - Temporary Files 1004 - Preventing Abnormal Termination 1005 - Chapter Exercises 1006 - Exercise Solutions 1007 - The End Chapter 11 - Additional Content Part 1: Exercises and More 1101 – Please download the attached Exercises Files 1102 – Learn EMACS 1103 – Learn VI and Vim 1104 – Very Valuable Documentation Additional Content Part 2: Grand Finale Bonus Lectures. Enjoy the Benefits You could also end up using these skills in your work for Your #Clients, and much more. You'll Also Get: ✔ Lifetime Access to course updates ✔ Udemy Certificate of Completion Ready for Download ✔ A responsive instructor in the Q&A Section ✔ This courses’ bundle comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. So wait no more! Learn Linux Shell Scripting, increase your knowledge, become a Shell Scripting Expert and advance your career all in a fun and practical way! I really hope you found this course valuable, but either way, please leave a review and share your experience... Less
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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] The IOS Development MasterClass: Learn The Skills To Master Swift And Xcode Free

This course is a skills based journey into app dev... Moreelopment. Throughout this course students will learn the skills necessary to build apps for iOS using Xcode and the Swift Programming Language Less
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[100% OFF] Build Complete Real World Responsive Websites from Scratch Free

Learn how to use HTML CSS and Javascript to make a... More complete responsive websites from scratch. This course covers the fundamentals on how to use HTML and CSS together to build real world websites. The course takes you step by step, from start to finish through everything you need... Source Code is included Top Resources and links used to create websites HD quality video Step by step instruction taught by an instructor with over 8 years industry experience From start to finish, all of the above is really easy to do... you just watch me do it in the videos and then copy me and do it yourself. And just in case you need me, I'm always available in the course for further help, advice and support. Who this course is for: frontend developers website designer Html Developers Learn Web Development Courses and Tutorials how to make responsive website using Html css Javascript Build a real world responsive website Create Responsive Website Using HTML5 CSS3 Learn Web Development Courses and Tutorials javascript front end tutorial front end developer course front end development tutorials responsive website design from scratch 2020 Design A Complete Responsive Business Website From Scratch html5 + css3 responsive web design Learn Responsive Web Design From Scratch Learn Modern Responsive Web Design With Example Step by Step Html5 CSS3 and Javascript : A Guide To Web Design From SCratch Responsive Html5 CSS3 Website Web Design For Beginners Front End Web Development Build A Modern Looking Responsive Websites Responsive Web Design Real World Coding in HTML & CSS Web Design HTML CSS Create Single Page Website from Scratch 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] Front End Web Development For Beginners (A Practical Guide) Free

Learn Front End Web Development Student reviews... More: "Great Course" -Rich Helton "This is great training for beginners and aspiring front end web developers this is simple yet very very informative" -Leynard Caballero Villagracia "I think it is a great course for the beginning level." -Hoang Cong "Great course and perfect explanation specially for beginners." -Kenan Dedoviq "Easy to understand for beginners..." -Hiren Bechra "Yeah, it's been a good match for me definitely. The content and the way of teaching by the mentors is very effective and efficient. Any one can begin with building web pages, taking up this certain course" -Abhinav Anand ======================================================== Not sure yet? Just scroll down and watch the free preview lectures! Enroll with confidence! Your enrollment is backed by Udemy's 30-day, no-questions-asked, money-back guarantee! What are the requirements? · All information and resources are included in this course. What am I going to get from this course? · Learn how to hand code HTML and CSS · Work with Bootstrap 4 · Build 2 great projects to get you started on your Front End Web Development education What is the target audience? · Anyone who wants to dramatically increase their Front End Web Development Skills! 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] 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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29 used

[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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77 used, 100% success rate

[100% OFF] Practical Django With Python | Launch Your Startup Today Free

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

[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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57 used

[100% OFF] Flutter and Firebase Part 1 (Real-Time Database) free

This class covers Flutter and Firebase Real-time D... Moreatabase in more details. The class focuses on CRUD (Create, Read, Update and Delete) of Firebase Real-time Database. Students will learn how to integrate Firebase into flutter applications. Students will also learn how to create, read, update and delete from real-time database in more details. Aside Firebase and database, students will also learn how to design interfaces in flutter, including how to use pop-ups and dialog box in flutter. Students taking this class should have basic knowledge in programming. Basic knowledge and experience in flutter and/or dart is preferred but not a requirement. Less
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5 used

[100% OFF] Mastering Agile Scrum Workshop Free

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

[100% OFF] Data Science: Supervised Machine Learning Bootcamp in Python Free

This course focuses on one of the main branches of... More Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language. The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning. Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally. During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more. Let's get started! Who this course is for: Those who are interested in AI and Machine Learning Those who have basic knowledge of any programming language Those who want to be create awesome Machine Learning and AI modules And those who want to earn some handsome amount of money from Machine Learning Field in Future Less
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167 used
89 used, 100% success rate