iiitl / iiitl/Linear-Regression
Interaction pattern study and transformation hypotheses
Open
exploration
hard
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 36
- PR merge metrics
- No merged PRs in 30d
Description
The goal of this task is to use a multi-dimensional Pairplot to interrogate the relationships between features and the target variable.
You will identify how variables interact with each other and use these visual patterns to propose mathematical transformations.
Contributor guide
Research direction
Start by finding the notebook that contains the regression data and inspect its feature and target columns. Generate the requested multi-dimensional pairplot, use it to document variable interactions, and record mathematical transformation hypotheses as the completed output.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100