R- Programming

R- Programming

• Lessons 0/18

  • Lecture 1.1
    Introduction to R Programming
  • Lecture 1.2
    Basic R Syntax and Data Types
  • Lecture 1.3
    R Data Structures: Vectors, Matrices, and Arrays
  • Lecture 1.4
    R Data Structures: Data Frames and Lists
  • Lecture 1.5
    Data Visualization with R: Base Graphics
  • Lecture 1.6
    Data Visualization with R: ggplot2 Package
  • Lecture 1.7
    Data Manipulation with dplyr Package
  • Lecture 1.8
    Data Analysis and Statistics with R
  • Lecture 1.9
    Control Structures and Functions in R
  • Lecture 1.10
    Debugging and Profiling in R
  • Lecture 1.11
    Advanced Topics in R: Object-Oriented Programming
  • Lecture 1.12
    Advanced Topics in R: Parallel Computing and Big Data Analysis
  • Lecture 1.13
    R Markdown and Reproducible Research
  • Lecture 1.14
    R for Machine Learning: Introduction and Data Preprocessing
  • Lecture 1.15
    R for Machine Learning: Supervised Learning Techniques
  • Lecture 1.16
    R for Machine Learning: Unsupervised Learning Techniques
  • Lecture 1.17
    R for Machine Learning: Model Evaluation and Selection
  • Lecture 1.18
    R for Machine Learning: Advanced Topics and Applications