Quiz and summary
Contents
3.3. Quiz and summary¶
3.3.1. Quiz 3¶
Complete Quiz 3 to check your understanding of this topic. You are advised to score at least 50% to proceed to the next topic.
3.3.2. Summary¶
In this chapter, we learnt that we need to move beyond linear regression when faced with a classification task. Logistic regression is a classification technique that uses a logistic function to model the probability of a binary outcome. Despite it’s simplicity it can be a powerful technique for classification problems.
In this topic, you learnt:
The fundamental drawbacks in using linear regression for classification.
The concept of logistic regression, and how to apply it to classification with one or many variables.
3.3.3. References and further reading¶
This material is based on the following resources:
The Textbook: James G, Witten D, Hastie T, Tibshirani R., An Introduction to Statistical Learning, Second Edition, Springer, 2021. PDF [James et al., 2021]