R Programming for AI & ML: Data Frames Deep Dive | End-to-End Session 23

Ready to dive deep into the world of
Artificial Intelligence
Machine Learning (AIML)?

Welcome to Session 23 of our in-depth R Programming series for AI & ML! In this session, we explore the core of data handling in R: Data Frames. Learn how to manipulate, analyze, and visualize data using R's powerful data frame structures. This session is perfect for both beginners and advanced users looking to deepen their understanding of data frames and their applications in AI & ML projects.

What You’ll Learn:

Introduction to data frames and their importance in R
Creating, modifying, and subsetting data frames
Efficient data manipulation with dplyr
Merging, joining, and reshaping data frames
Handling missing data and outliers
Practical examples of data frames in AI & ML workflows
Best practices for data cleaning and preparation
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