Smoking Health Assessment

[Chillthrower]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Smoking Health Assessment
:red_circle: Aim : The main purpose of this project is to develop machine learning models capable of predicting gross income based on demographic and behavioral factors.
:red_circle: Dataset : https://www.kaggle.com/datasets/utkarshx27/smoking-dataset-from-uk
:red_circle: Approach : Develop and evaluate machine learning models to predict income using demographic and behavioral factors, followed by performance evaluation and visualization. models used: One of the EDA:

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Sarvajith Adyanthaya
• GitHub Profile Link : https://github.com/Chillthrower
• Email ID : sarvajithadyanthaya@gmail.com
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program) Contributor, GGSOC'24

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions[bot]]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

Hi @Chillthrower as this project repo mainly focuses on deep learning issues, I'd recommend you to please focus on the same instead of machine learning techniques.

[Chillthrower]

Oh my bad i will keep that in mind