LibGuides: TIM-8555: Module 1

Lesson 1 Required Resources

Data Science Foundations with Python with Zylabs

This reading provides metrics for regression and classification.

An introduction to statistical learning with applications in Python
James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). An introduction to statistical learning with applications in Python. Springer Nature.

Read Chapter 1: Introduction.
Read Chapter 2: Statical Learning.
Read Chapter 5: Resampling Methods.
These chapters will build the case for estimating f, and discuss types of models and metrics for regression/classification.

Data Science Foundations with Python with Zylabs

This reading helps develop Regression skills.

An introduction to statistical learning with applications in Python
James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). An introduction to statistical learning with applications in Python. Springer Nature.

Read Chapter 3: Linear Regression.
This chapter provides foundational information about regression.