You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Smoking Health Assessment
🔴 Aim : The main purpose of this project is to develop machine learning models capable of predicting gross income based on demographic and behavioral factors.
🔴 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:
📍 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.
🔴🟡 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.
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.
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Smoking Health Assessment
🔴 Aim : The main purpose of this project is to develop machine learning models capable of predicting gross income based on demographic and behavioral factors.
🔴 Dataset : https://www.kaggle.com/datasets/utkarshx27/smoking-dataset-from-uk
🔴 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:
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Contributor, GGSOC'24
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: