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- Installing R and R Studio
- Course Resources
- Basics of R and R Studio
- This is a milestone!
- Packages in R
- Inputting data part 1: Inbuilt datasets of R
- Inputting data part 2: Manual data entry
- Inputting data part 3: Importing from CSV or Text files
- Creating Barplots in R
- Creating Histograms in R
SVM for Beginners: Support Vector Machines in R Studio
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹2,899
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Setting up R Studio and R Crash Course
Machine Learning Basics
- Introduction to Machine Learning
- Building a Machine Learning Model
Maximum Margin Classifier
- Course flow
- The Concept of a Hyperplane
- Maximum Margin Classifier
- Limitations of Maximum Margin Classifier
Support Vector Classifier
- Support Vector classifiers
- Limitations of Support Vector Classifiers
- Quiz
Support Vector Machines
- Kernel Based Support Vector Machines
- Quiz
Creating Support Vector Machine Model in R
- The Data set for the Classification problem
- Importing Data into R
- Test-Train Split
- More about test-train split
- Classification SVM model using Linear Kernel
- Hyperparameter Tuning for Linear Kernel
- Polynomial Kernel with Hyperparameter Tuning
- Radial Kernel with Hyperparameter Tuning
- Quiz
- The Data set for the Regression problem
- SVM based Regression Model in R
Appendix 1: Preprocessing and Preparing Data before making any model
- Gathering Business Knowledge
- Data Exploration
- The Data and the Data Dictionary
- Importing the dataset into R
- Univariate Analysis and EDD
- EDD in R
- Outlier Treatment
- Outlier Treatment in R
- Missing Value imputation
- Missing Value imputation in R
- Seasonality in Data
- Bi-variate Analysis and Variable Transformation
- Variable transformation in R
- Non Usable Variables
- Dummy variable creation: Handling qualitative data
- Dummy variable creation in R
- Correlation Matrix and cause-effect relationship
- Correlation Matrix in R
- Quiz
Bonus Section
- The final milestone!
- Bonus Lecture
Articles
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