LibGuides: TIM-8501 v5: Lesson 7 Resources

Lesson 7 Resources

Applied Statistics with Data Analytics (R), Zylabs.com

Review Chapter 12 and Section 16.4 (focus on Feature Representation and Scaling).

This reading provides foundational information for feature usage.

Data Science Foundations with R, Zylabs.com

This chapter details methods for enriching data.

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

Practical Feature Engineering
Dunning, T. (2020). Practical feature engineering (O’Reilly Media).
Watch the video. This lecture is perfect for the week’s content, which is focused on feature engineering.
R for Data Science
Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for data science. " O'Reilly Media, Inc."
- Review Chapter 3: Data Transformation.
This chapter provides foundational transformation techniques.

Toward Efficient Automated Feature Engineering
Wang, K., Wang, P., & Xu, C. (2022). Toward efficient automated feature engineering. ArXiv. /abs/2212.13152