SVM for Beginners: Support Vector Machines in R Studio
- Description
- Curriculum
- FAQ
- Reviews
You’re looking for a complete Support Vector Machines 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
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2Installing R and R studioVideo lesson
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3Course ResourcesText lesson
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4Basics of R and R studioVideo lesson
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5This is a milestone!Video lesson
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6Packages in RVideo lesson
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7Inputting data part 1: Inbuilt datasets of RVideo lesson
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8Inputting data part 2: Manual data entryVideo lesson
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9Inputting data part 3: Importing from CSV or Text filesVideo lesson
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10Creating Barplots in RVideo lesson
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11Creating Histograms in RVideo lesson
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24The Data set for the Classification problemVideo lesson
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25Importing Data into RVideo lesson
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26Test-Train SplitVideo lesson
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27More about test-train splitText lesson
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28Classification SVM model using Linear KernelVideo lesson
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29Hyperparameter Tuning for Linear KernelVideo lesson
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30Polynomial Kernel with Hyperparameter TuningVideo lesson
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31Radial Kernel with Hyperparameter TuningVideo lesson
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32QuizQuiz
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33The Data set for the Regression problemVideo lesson
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34SVM based Regression Model in RVideo lesson
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35Gathering Business KnowledgeVideo lesson
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36Data ExplorationVideo lesson
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37The Data and the Data DictionaryVideo lesson
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38Importing the dataset into RVideo lesson
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39Univariate Analysis and EDDVideo lesson
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40EDD in RVideo lesson
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41Outlier TreatmentVideo lesson
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42Outlier Treatment in RVideo lesson
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43Missing Value imputationVideo lesson
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44Missing Value imputation in RVideo lesson
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45Seasonality in DataVideo lesson
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46Bi-variate Analysis and Variable TransformationVideo lesson
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47Variable transformation in RVideo lesson
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48Non Usable VariablesVideo lesson
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49Dummy variable creation: Handling qualitative dataVideo lesson
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50Dummy variable creation in RVideo lesson
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51Correlation Matrix and cause-effect relationshipVideo lesson
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52Correlation Matrix in RVideo lesson
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53QuizQuiz
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