Machine Learning with R is a comprehensive course designed to help you learn the fundamentals of machine learning using the R programming language. Whether you are a beginner or have some experience with R, this course will provide you with the knowledge and skills to apply machine learning techniques to your data.

Course Outline

  • Introduction to R

    • Setting up R and RStudio
    • Basic syntax and data types
    • Data manipulation with dplyr and tidyr

  • Data Visualization

    • Basic plots with ggplot2
    • Advanced visualizations and storytelling with R

  • Machine Learning Fundamentals

    • Understanding supervised and unsupervised learning
    • Common machine learning algorithms
    • Cross-validation and model selection

  • Machine Learning with R

    • Implementing algorithms like linear regression, decision trees, and neural networks
    • Evaluating model performance with metrics like accuracy, precision, recall, and AUC
    • Model deployment and production with R

Prerequisites

  • Basic knowledge of programming
  • Familiarity with R programming
  • Understanding of statistics and probability

Learn More

To dive deeper into machine learning with R, check out our Advanced Machine Learning with R course.

Machine Learning with R

Would you like to start learning today? Join our community of data scientists and take your skills to the next level!