Closed abhisheks008 closed 1 year ago
Hello I would like to work on this project. Please assign it to me Full name : Gunesh Mahajan GitHub Profile Link : https://github.com/guneshm11 Participant ID (If not, then put NA) : NA Approach for this Project : Try to use 3-4 algorithms to implement the models 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. What is your participant role? - Contributor
Issue assigned to you @guneshm11
Issue has been un-assigned from you due to inactivity. @guneshm11
@abhisheks008 Is this a data analysis project?
Yup Data Analysis and Visualization. @susanyeldo
Hello I would like to work on this project. Please assign it to me Full name : Susanna Yeldo GitHub Profile Link : https://github.com/susanyeldo Participant ID (If not, then put NA) : NA Approach for this Project : Try to use 3-4 algorithms to implement the models 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. What is your participant role? kWOC
Issue assigned to you @susanyeldo
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Hong Kong Rainstorm Record Analysis :red_circle: Aim : Analyse the different aspects of rainstorm of Hong Kong. :red_circle: Dataset : https://www.kaggle.com/datasets/henrychan1862/hong-kong-rainstorm-record-apr1998aug2022 :red_circle: Approach : Try to use 3-4 algorithms to implement the models 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.
π 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.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π