Back to Course Website

Introduction to Statistical Learning

PPOL 670 | Introduction to Data Science

Lecture Materials for Week 9

---

Learning Objectives

In the Asynchronous Lecture

• Get a general introduction to statistical learning and what it is all about.
• Talk about supervised learning problems.
• Think through cross-validation as a strategy to deal with over-fitting.

In the Synchronous Lecture

• Delve into data pre-processing.
• Explore data pre-processing in R using the recipes package.
• Introduction to the caret package API, which we’ll use to run our machine learning models.

If you have any questions while watching the pre-recorded material, be sure to write them down and to bring them up during the synchronous portion of the lecture.

---

Asynchronous Materials

The following tabs contain pre-recorded lecture materials for class this week. Please review these materials prior to the synchronous lecture.

Total time: Approx. 1 hour

_

---

Statistical Learning

Relevant Slides

---

Supervised Learning

Relevant Slides

---

Cross-Validation

Relevant Slides

---

 

---

The following materials were generated for students enrolled in PPOL670. Please do not distribute without permission.

ed769@georgetown.edu | www.ericdunford.com