- 2 Sections
- 61 Lessons
- Lifetime
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- R Programming Basics14
- 1.1Run Your First Program on Windows11 Minutes
- 1.2Basic Arithmetic Operations11 Minutes
- 1.3Common Operations on Vectors
- 1.4Matrices in R32 Minutes
- 1.5Installing R Studio7 Minutes
- 1.6Importing CSV and Tab Delimited Text Data Set in R14 Minutes
- 1.7Importing Excel Dataset into RStudio15 Minutes
- 1.8Creating Data Frame for Datasets5 Minutes
- 1.9Exporting Data From R in CSV, Text Formats6 Minutes
- 1.10Importing, Checking, and Working with Data13 Minutes
- 1.11Importing Google Form’s Dataset into Rstudio4 Minutes
- 1.12Working with Data and Variables in R9 Minutes
- 1.13Subsetting Data Using Square Brackets11 Minutes
- 1.14Logic Statements (TRUE & FALSE)10 Minutes
- R Programming Live Discussions47
- 2.1Introduction to R & RStudio (Part-I)85 Minutes
- 2.2Introduction to R & RStudio (Part-II)72 Minutes
- 2.3Descriptive Statistics Using R (Part-I)41 Minutes
- 2.4Vectors in R90 Minutes
- 2.5Factors and Lists in R80 Minutes
- 2.6Matrix and Data Frames in R81 Minutes
- 2.7Scatter Plot in R (Part-I)66 Minutes
- 2.8Scatter Plot in R (Part-II)49 Minutes
- 2.9Scatter Plot in R (Part-III)78 Minutes
- 2.10Histogram and Box Plot60 Minutes
- 2.11Pearson’s Correlation (Part-I)88 Minutes
- 2.12Pearson’s Correlation (Part-II)100 Minutes
- 2.13Normality Testing in R (Part-I)70 Minutes
- 2.14Spearman’s Correlation in R67 Minutes
- 2.15Chi-Square Test in R (Part-I)53 Minutes
- 2.16Chi-Square Test in R (Part-II)81 Minutes
- 2.17Independent Samples T-Test in R (Part-I)61 Minutes
- 2.18Independent Samples T-Test in R (Part-II)60 Minutes
- 2.19Paired Samples T-Test in R63 Minutes
- 2.20Mann-Whitney and Wilcoxon Test in R40 Minutes
- 2.21One-Way ANOVA Test in R66 Minutes
- 2.22Kruskal-Wallis H Test in R80 Minutes
- 2.23Two-way ANOVA Test in R74 Minutes
- 2.24Data Preprocessing with R (Part-I)110 Minutes
- 2.25Data Preprocessing with R (Part-II)100 Minutes
- 2.26Data Preprocessing with R (Part-III)79 Minutes
- 2.27Simple Linear Regression in R (Part-I)84 Minutes
- 2.28Simple Linear Regression in R (Part-II)88 Minutes
- 2.29Simple Linear Regression in R (Part-III)108 Minutes
- 2.30Multiple Linear Regression in R (Part-I)77 Minutes
- 2.31Multiple Linear Regression in R (Part-II)96 Minutes
- 2.32Multiple Linear Regression in R (Part-III)100 Minutes
- 2.33Multiple Linear Regression in R (Part-IV)75 Minutes
- 2.34Polynomial Regression in R (Part-I)60 Minutes
- 2.35Polynomial Regression in R (Part-II)77 Minutes
- 2.36Support Vector Regression in R (Part-I)88 Minutes
- 2.37Support Vector Regression in R (Part-II)54 Minutes
- 2.38Logistic Regression in R (Part-I)60 Minutes
- 2.39Logistic Regression in R (Part-II)90 Minutes
- 2.40Logistic Regression in R (Part-III)53 Minutes
- 2.41Logistic Regression in R (Part-IV)80 Minutes
- 2.42Logistic Regression in R (Part-V)55 Minutes
- 2.43K-Nearest Neighbour in R (Part-1)81 Minutes
- 2.44K-Nearest Neighbour in R (Part-2)65 Minutes
- 2.45Support Vector Machine in R (Part-1)72 Minutes
- 2.46Support Vector Machine in R (Part-2)60 Minutes
- 2.47Support Vector Machine in R (Part-3)108 Minutes
Support Vector Machine in R (Part-2)
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