UCSD CSS 2 - Spring 2022

Welcome to CSS 2

Course (CSS 2 Spring 2022)

Syllabus
Expectations
Datahub assignments
Debugging
Extracurricular Resources
Final Project

Lectures - download before class

Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
- Lecture 28 (6/3/2022)

Lecture code - available after class

Lecture 2 (3/30/22)
Lecture 3 (4/1/22)
Lecture 4 (4/4/22)
Lecture 5 (4/6/22)
Lecture 6 (4/8/22)
Lecture 7 (guest) - Introduction to Data Visualization in Python
Lecture 9 (guest) Data Visualization with Seaborn
Lecture 10 (4/18/22)
Lecture 11 (4/20/2022)
Lecture 12 (4/22/2022)
Lecture 13 (4/25/22)
Lecture 14 (4/27/2022)
Lecture 15 (4/29/2022)
Lecture 16 (5/2/2022)
Lecture 17 (5/4/2022)
Lecture 18 (5/6/2022)
Lecture 19 (5/9/2022)
Lecture 20 (5/11/2022)
Lecture 21 (5/13/2022)
Lecture 22 (5/16/2022)
Lecture 23 (5/18/2022)
Lecture 24 (5/20/2022)
Lecture 25 (5/23/2022)
Lecture 26 (5/25/2022)
Lecture 27 (5/27/2022)
Lecture 28 (6/3/2022)

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Week 8¶

Lecture 22: Clustering: introduction

Lecture 23: Clustering: evaluation

Lecture 24: Advanced clustering: Gaussian mixture models

Lecture 21 (5/13/2022) Lecture 22 (5/16/2022)

By Erik Brockbank
© Copyright 2022.