Supervised Learning in R: Classification

Description

In this course, you will learn :

• Classification will be introduced while working through the application of kNN to self-driving vehicle road sign recognition.
• introduce the fundamentals of Bayesian methods while investigating how to apply these techniques to iPhone-like destination recommendations
• an overview of the technique with examples of how to apply it to fundraising data
• Classification trees make decisions using flowchart-like structures.

Syllabus :

• k-Nearest Neighbors (kNN)
• Naive Bayes
• Logistic Regression
• Classification Trees