iiitl / iiitl/Logistic-Regression

Clinical zero-value audit for missing placeholders

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easy exploration good first issue
Dominant language
Jupyter Notebook
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Forks
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Description

Count zero values in Glucose, BloodPressure, SkinThickness, Insulin, and BMI.
Report zero percentages in a table and propose a clear handling rule for each of these features.

Contributor guide

Open the contributing guide

Research direction

Start by locating the repository's Jupyter notebook cells that load the clinical dataset and define Glucose, BloodPressure, SkinThickness, Insulin, and BMI. Calculate each feature's zero percentage, present the results in a table, and document one clear handling rule for every feature; completion means all five features are covered.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
data, machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
55/100

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