Closed abhisheks008 closed 1 year ago
Please assign me this. @abhisheks008
Issue assigned to you @Avik-creator
Sorry but can't do it for now. Will do it later @abhisheks008
Please assign me this. @abhisheks008
Are you a participant from any open source program or, just wanna contribute here as a contributor? @Sugam-Mahajan
Just wanted to contribute as a part of our college project
Sounds great @Sugam-Mahajan. Can you elaborate the approach you wanna go through while solving this issue?
We will apply EDA and then use 3 algo namely: KNeighboursClassifier, DecisionTreeClasssifier, RandomForestClassifier . Then compare the accuracy of each algorithm.
Full name : BrijeshMali GitHub Profile Link : https://github.com/Brijesh003 Participant ID (If not, then put NA) : NA Approach for this Project : I will use RandomForest & KNeighbours
I'm new to ML so I will learn and contribute
@Sugam-Mahajan your approach sounds good to me. This issue is assigned to you. Go ahead!
@Brijesh003 we assign issues on first come first serve basis, as @Sugam-Mahajan commented here first with the approach, I have to assign that. You can take up other issues and comment on them with your approach.
Ok Sir
Hey @Brijesh003 updates regarding this issue.
Hey @abhisheks008 you have assigned this issue to @Sugam-Mahajan.
My bad @Brijesh003. Sorry for the inconvenience caused.
@Sugam-Mahajan updates regarding this issue.
Hi @abhisheks008, I have successfully implemented one algorithm along with EDA. I will complete this till Saturday with the remaining 2 algorithms.
Thank you
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Heart Failure Prediction :red_circle: Aim : Create a prediction model for heart failure of the patients. :red_circle: Dataset : https://www.kaggle.com/datasets/asgharalikhan/mortality-rate-heart-patient-pakistan-hospital :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