CityU IS6400 Week 6 to Week 8 Materials

1. Week 6 Regresion for Predictive Analytics
   • Lecture slides: LINK
   • Lecture notebook: LINK
   • In-Class exercise solution: LINK
2. Week 7 Time Series: Smoothing
   • Lecture slides: LINK
   • Lecture notebook: LINK
   • In-Class exercise solution: LINK
3. Week 8 Time Series: AutoRegression
   • Lecture slides: LINK
   • Lecture notebook: LINK
   • In-Class exercise solution: LINK
4. Homework notebook: LINK

References

• Hastie, T., Tibshirani, R., Friedman, J. H., & Friedman, J. H. (2009). The elements of statistical learning: data mining, inference, and prediction (Vol. 2, pp. 1-758). New York: springer.
• Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.
• Shmueli, G., & Lichtendahl Jr, K. C. (2016). Practical time series forecasting with r: A hands-on guide. Axelrod schnall publishers.