search

abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
389 stars 334 forks source link

Addition of Groundwater arsenic content detection #960

Open Stuti333 opened 1 week ago

Stuti333 commented 1 week ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Groundwater arsenic content detection
:red_circle: Develop and implement reliable, cost-effective methods to detect and monitor arsenic contamination in groundwater sources to ensure water safety
:red_circle: Government released groundwater data (for different states)
:red_circle: Approach : Try to use 1-2 algorithms to implement the groundwater contaminants detection and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 Follow the Guidelines to Contribute in the Project :

:red_circle::yellow_circle: Points to Note :

:white_check_mark: To be Mentioned while taking the issue :

Happy Contributing 🚀

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

github-actions[bot] commented 1 week ago

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

abhisheks008 commented 1 week ago

It'd be good if you go with 3 models at least. Can you update your approach and revert back. @Stuti333

Stuti333 commented 1 week ago

sure

Stuti333 commented 1 week ago

Deep Learning Simplified Repository (Proposing new issue) 🔴 Groundwater arsenic content detection

🔴 Develop and implement reliable, cost-effective methods to detect and monitor arsenic contamination in groundwater sources to ensure water safety

🔴 Government released groundwater data (for different states)

🔴 Approach : Try to use 3 algorithms to implement the groundwater contaminants detection and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 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. ✅ To be Mentioned while taking the issue :

Full name : Stuti Sharma GitHub Profile Link : https://github.com/Stuti333 Email ID : stuti2718@gmail.com Participant ID (if applicable): Approach for this Project : To use ANN , WOA and Random Forest Regression to predict whether the groundwater is favourable or poisonous What is your participant role? Contributor GSSOC EXT Happy Contributing 🚀

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

Stuti333 commented 1 week ago

@abhisheks008 kindly assign me this task