iiitl / iiitl/Linear-Regression

Interaction pattern study and transformation hypotheses

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exploration hard
Dominant language
Jupyter Notebook
Stars
0
Forks
36
PR merge metrics
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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

Open the contributing 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

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