INRIA / INRIA/scikit-learn-mooc
Add a subsection in predictive modeling pipeline regarding missing values handling
Open
- Dominant language
- Jupyter Notebook
- Stars
- 1.4k
- Forks
- 600
- Avg merge
- 6d 20h
- Merged PRs (30d)
- 2
Description
We should add a small section to show how:
- how to handle missing data
- illustrate the usage of an imputer in a pipeline
- illustrate the usage of a pipeline within a column transformer
+ exercise
Contributor guide
Research direction
Locate the predictive modeling pipeline material in the course notebooks and read the surrounding lesson structure and exercises first. Add a subsection covering missing-data handling, an imputer in a pipeline, and a pipeline inside a column transformer, with an exercise that demonstrates these concepts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- content, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100