Machine Learning with R (Level 1)

The IBM Machine Learning with R (Level 1) program provides foundational knowledge for working with R in the context of machine learning. Here are the key components covered in this program:

1. Supervised vs. Unsupervised Learning:
   • Participants learn about the distinction between supervised and unsupervised learning approaches.
   • They understand how to apply these techniques using R.
2. Statistical Modeling and Machine Learning:
   • The program covers how statistical modeling relates to machine learning.
   • Participants explore how to build and evaluate machine learning models using R.

By completing this program, participants demonstrate their ability to work effectively with R for machine learning tasks, making them valuable contributors to data-driven projects. 📊🔍

For more details, you can visit the IBM Training page¹.