Case Studies by Chapter
This page contains the programs, data and instructions (if not in the textbook) for the Case Studies that appear at the end of the Chapters in the book Time Series for Data Scientists . Some additional case studies will be available to instructors.
Chapter 1
Using APIs to access time series data
Chapter 2
Lowess smoothing with stl()
Chapter 3
Multiple seasonalities
Chapter 4
Smart cities
Chapter 5
Covid-19
Chapter 6
Automatic Forecasting at Scale
Chapter 7
Chapter 8
Which came first? The chicken or the egg?
Chapter 9
Case Study 2. Automated fitting of multiple regression models with autocorrelated residuals and feature-engineered time series.
Chapter 10
Case study 1 Supervised ML
Case study 3 Unsupervised ML