Closed abhisheks008 closed 4 months ago
Hi @abhisheks008 , I would like to take up this issue!! Full name : Aniket Ray GitHub Profile Link : https://github.com/raysofani Participant ID (If not, then put NA) : NA Approach for this Project :
EDA Processing Feature engineering Use 3-4 algorithm to Analyse and do the required Prediction. As its a case study whether a student would qulify exam or not so its a classification problem. So will use classification algorithms. Common choices include Logistic Regression, Random Forest, Support Vector Machines, or Gradient Boosting Models. Fine-tune the hyperparameters of the chosen model to optimize its performance. What is your participant role? IWOC 2.0
Complete your previous issue first @raysofani
Hi @abhisheks008 , I would like to take up this issue!! Full name : Aniket Ray GitHub Profile Link : https://github.com/raysofani Participant ID (If not, then put NA) : NA Approach for this Project :
EDA Processing Feature engineering Use 3-4 algorithm to Analyse and do the required Prediction. As its a case study whether a student would qulify exam or not so its a classification problem. So will use classification algorithms. Common choices include Logistic Regression, Random Forest, Support Vector Machines, or Gradient Boosting Models. Fine-tune the hyperparameters of the chosen model to optimize its performance. What is your participant role? IWOC 2.0
Issue assigned to you @raysofani
@abhisheks008 i would like to work on this issue. Could you please assign it to me?
Full name : Avdhesh Varshney GitHub Profile Link : https://github.com/Avdhesh-Varshney Participant ID (If not, then put NA) : Approach for this Project :
What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) IWOC
What's the update on this issue? @raysofani
Issue unassigned from @raysofani due to inactivity.
Issue assigned to @Avdhesh-Varshney. You can start working on it.
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : IELTS Success Analysis and Prediction :red_circle: Aim : The aim of this project is to analyze and predict the success rates of IELTS. :red_circle: Dataset : https://www.kaggle.com/datasets/zakirkhanaleemi/ielts-success-stories-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