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DDS-8555

Lesson 7 Required Resources

ACCESS your Zylabs.com material from the Lesson module in your course.

Data Science Foundations with Python with Zylabs

Read Chapter 10: Unsupervised Learning

This reading helps provide support for unsupervised learning.

An introduction to statistical learning with applications in Python
An introduction to statistical learning with applications in Python. Springer Nature.

Read Chapter 12: Unsupervised Learning.
This chapter discusses clustering and Principle Components Analysis

Lesson 8 Required Resources

Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and practice (3rd ed.). OTexts.
Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and practice (3rd ed.). OTexts.

Read Chapter 7: Time Series Regression Models.
Read Chapter 8: Exponential Smoothing.
Read Chapter 9: ARIMA Models.
Read Chapter 10: Dynamic Regression Models.

These chapters cover the fundamental time series components necessary.

Last Updated: Apr 18, 2025 9:41 AM
URL: https://resources.nu.edu/c.php?g=1442928
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