ML 7.3Lesson outlineLesson 3 of 8 in Module 7
Reading a Logistic Regression
Regularise a logistic regression and read its weights, knowing when a weight can be read as importance.
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Lesson outline: Reading a Logistic Regression
In this lesson10 parts
- 01What a weight says
- 02Odds ratios
- 03Condition one: comparable units
- 04Condition two: no collinearity
- 05Three checks for collinearity
- 06L2 and L1
- 07A curved boundary from engineered features
- 08Where it misleads
- 09Code
- 10Recap, your challenge, and what comes next
Builds on
This lesson stands on its own. These go deeper into what it uses.
- ML 7.2: Logistic Regression
- 3.7
- 4.7–4.9
- Maths 1.2: Exponents and Logarithms
- 4.8 (²)