Parkinsons diseasedetection & /Dataset Exploration & EDA (issue #150)

[ranamanish674zu]

Description

A clear and concise description of what the PR does.

• This PR does the following:
  Importing the necessary libraries
  Loading the dataset
  Basic Dataset Information
  Statistical Summary
  Checking for Missing Values
  Distribution of Numerical Features
  Analyzing Categorical Features
  Correlation Analysis
  Pairplot for Key Variables
  Analyzing Target Variables
  Feature Relationships with Target Variables
  Boxplots for Categorical Features vs Target Variables
  Outliers Detection
  Data Transformation and Feature Engineering (if needed)
  • Adds ...so basically we done data pre-processing over parkinsons dataset (EDA)
  • Fixes Parkinson's Disease Detection | Dataset Exploration & EDA #150
  • Updates ...we analyze chart to see the relation between the features

Related Issues

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• Placeholder: "Fixes Parkinson's Disease Detection | Dataset Exploration & EDA #150 "

Changes

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• Added a new feature to the repository

Testing Instructions

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1. Pull this branch.
2. Run npm install to install dependencies.
3. Run npm test to execute the test suite.
4. Verify that ...

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Additional Context

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• This PR is based on the parkinsons diseasedeteection dataset Exploration & EDA

Checklist

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• [ x] I have performed a self-review of my code
• [ x] I have commented my code, particularly in hard-to-understand areas
• [x ] My changes generate no new warnings
• [ x] I am working on this issue under GSSOC

[github-actions]

Great job, @ranamanish674zu! 🎉 Thank you for submitting your pull request. Your contribution is valuable and we appreciate your efforts to improve our project.

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

[ranamanish674zu]

@SrijanShovit i have added EDA #150 please cheke and let me know if needed change or any advice from ur side

[github-actions]

This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!