LinkedIn Poll Data Analysis

[stackaway]

Pull Request for ML-Crate 💡

Issue Title: LinkedIn Poll Data Analysis

• Info about the related issue (Aim of the project) : To analyse the dataset and see the popularity of the Linkedln Poll.
• Name: Churnika S Mundas
• GitHub ID: https://github.com/stackaway
• Idenitfy yourself: JWOC 2024 Contributor

Closes: #581

Describe the add-ons or changes you've made 📃

• Analyzed data, extracted insights, and generated relevant visualizations.
• Process data to prepare it for machine learning model training.
• Trained default-parameter models:
  • Linear Regression
  • Decision Tree
  • Random Forest
  • SVM

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested

• Linear Regression - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.8196
• Decision Tree - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.4230
• Random Forest - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.6487
• SVM - Mean Squared Error (MSE): 0.0001, R-squared (R2) Score: -2.3062

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @stackaway :)

[abhisheks008]

Approved under JWOC 2024 @stackaway