Introduction

These are the notes for a set of 9 lectures, as part of the Applied Data Science course. The notes will cover supervised learning (decision trees) and unsupervised learning (dimension reduction, clustering).

Lectures

Lecture 01

<2023-11-08 Wed 12:00-13:00>

Decision trees

Lecture 02

<2023-11-09 Thu 10:00-11:00>

Trees: pruning and ensembles

with code

Lecture 03

<2023-11-13 Mon 11:00-12:00>

Dimensionality reduction: PCA

with code

Reading

Introduction to Statistical Learning by James, Witten, Hastie, Tibshirani, Taylor.