Labs

Stat 154/254: Statistical Machine Learning

Lab 1 (Jan. 26th)

Lab 1 Intro - Logistics + Coding for ML

Lab 1 Exercise - Coding for ML + Linear Regression Basics

Lab 1 Exercise - Solutions

Lab 2 (Feb. 2nd)

Lab 2 Intro - Data Visualization for Linear Modeling

Lab 2 Exercise - Linear Regression Challenge

Lab 3 (Feb. 9th)

Continuation of Lab 2.

Lab 4 (Feb. 23rd)

Lab 4 - Linear Regression Challenge Round-up

Lab 5 (Mar. 2nd)

Lab 5 Intro - Cross Validation Part I

Lab 5 Exercise - Cross Validation Part I

Lab 6 (Mar. 9th)

Lab 6 Intro - Cross Validation Part II

Lab 6 Exercise - Cross Validation Part II

Lab 7 (Mar. 16th)

Lab 7 Presentation - Cross Validation Part III

Lab 8 (Mar. 30th)

Lab 8 Exercise - Classification Challenge Part I

Lab 9 (Apr. 6th)

Continuation of Lab 8.

Lab 10 (Apr. 13th)

Lab 10 Presentation - Classification Challenge Round-Up

Lab 11 (Apr. 19th)

Lab 11 Tutorial - Neural networks setup and introduction

Lab 11 Challenge - Neural networks challenge

Lab 12 (Apr. 27th)

Lab 12 Challenge - Training neural networks with augmented data