https://github.com/abdulshaikh55/ml-involuntary-denied-boarding

A machine learning model that predicts whether you will be denied onboarding your plane.
https://github.com/abdulshaikh55/ml-involuntary-denied-boarding

first-timers ipynb machine-learning scikit-learn

Last synced: 8 days ago
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A machine learning model that predicts whether you will be denied onboarding your plane.

• Host: GitHub
• URL: https://github.com/abdulshaikh55/ml-involuntary-denied-boarding
• Owner: abdulshaikh55
• Created: 2024-10-27T14:23:12.000Z (11 days ago)
• Default Branch: main
• Last Pushed: 2024-10-27T14:33:08.000Z (11 days ago)
• Last Synced: 2024-10-27T16:34:39.197Z (11 days ago)
• Topics: first-timers, ipynb, machine-learning, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.14 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Involuntary Denied Boarding

Although I have made a few machine learning models before, this one is different as I am using the the good ol' trial-and-error. 

This learning technique will help you, as a programmer, get a deeper understanding of the underlying concepts. And, as your accuracy percentage gets higher and higher with each trial, the error part will be more tolerable.

This model started off at 28%, now it is at 46%.

What changes I made to the project are given in the [word document](./denied_onboarding.docx). I'll be adding more steps.