Closed abhisheks008 closed 8 months ago
Full name :A.Sai Srujana GitHub Profile Link :https://github.com/SRUJANA219 Participant ID (If not, then put NA) : Approach for this Project :using 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, doing a exploratory data analysis before creating any model. What is your participant role? kwoc
I can't assign issues on a deadline day, I believe developing a whole ML project is not a task of 12 hours. It needs to be reviewed and then the PR will merge. There is lots of possibility that this will not work on a deadline day.
If you want to contribute in this repository, you can register for JWOC or, IWOC. In both these events ML-Crate is going to participate. You can check out their websites for the registration.
Full name :Sai Sravanthi Chandana GitHub Profile Link :https://github.com/SaiSravanthiChandana Participant ID (If not, then put NA) :jwoc mentee 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. Contributing a project for the first time..
Full name :A.Sai Srujana GitHub Profile Link :https://github.com/SRUJANA219 Participant ID (If not, then put NA) : Approach for this Project :using 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, doing a exploratory data analysis before creating any model. What is your participant role? jwoc
@SaiSravanthiChandana and @SRUJANA2199 wait for the program to start officially.
would u assign it to me
Implement the following models for this project,
Check the accuracy scores of the deployed models and find out the best one based on the best accuracy score.
Are you able to do this? @SaiSravanthiChandana
@abhisheks008 can you please assign this issue to me under JWOC 24? i will impliment all these algos..
Regards.
@abhisheks008 can you please assign this issue to me under JWOC 24? i will impliment all these algos..
Regards.
Sure, will do it once the PR is merged.
@abhisheks008 please assign this to me
Implement the following models for this project,
- Random forest
- Decision tree
- Logistic regression
- Lasso
- Ridge
- Gradient boosting
- XgBoost
- MLP
Check the accuracy scores of the deployed models and find out the best one based on the best accuracy score.
Are you able to do this? @SaiSravanthiChandana
hey as this is nlp based classifier model, may i use transfer learning models to implement?
Implement the following models for this project,
- Random forest
- Decision tree
- Logistic regression
- Lasso
- Ridge
- Gradient boosting
- XgBoost
- MLP
Check the accuracy scores of the deployed models and find out the best one based on the best accuracy score. Are you able to do this? @SaiSravanthiChandana
hey as this is nlp based classifier model, may i use transfer learning models to implement?
Yes you can. Do you want to work on this issue?
Yes sir absolutely.Please assign this to me
Assigned @CoderOMaster
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Google Devices Q and A Analysis :red_circle: Aim : Create a bunch of ML models to analyze the Google Devices Q and A dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/aashidutt3/google-devices-q-and-a-dataset :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