Is your proposal related to a problem? Please describe.
I would like to propose a new project to predict academic risk of students in higher education using the dataset provided by the Kaggle 2024 Playground Series competition. This project aims to build and evaluate machine learning models to determine the most effective approach for this classification task. This project will be a valuable contribution to the repository by providing a structured approach to solving an academic success prediction problem and It will serve as a practical example for other members of the community interested in machine learning and deep learning techniques.
Add any other context or screenshots about the proposal request here.
Please assign this task as Level-3due to the complexity of the problem statement being part of a Kaggle competition and the inherent difficulties of dealing with an imbalanced and biased dataset. These challenges require advanced techniques in data preprocessing, model training, and evaluation to achieve meaningful results.
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Thanks for opening thisIssue π, Welcome to Project Guidance π We will review everything and get back to you. Make sure to give a star to this repo before making a fork! Thank you :)
Is your proposal related to a problem? Please describe.
I would like to propose a new project to
predict academic risk of students in higher education
using the dataset provided by the Kaggle 2024 Playground Series competition. This project aims to build and evaluate machine learning models to determine the most effective approach for this classification task. This project will be a valuable contribution to the repository by providing a structured approach to solving an academic success prediction problem and It will serve as a practical example for other members of the community interested in machine learning and deep learning techniques.Add any other context or screenshots about the proposal request here.
Please assign this task as
Level-3
due to the complexity of the problem statement being part of aKaggle competition
and the inherent difficulties ofdealing with an imbalanced and biased dataset
. These challengesrequire advanced techniques in data preprocessing
,model training
, and evaluation to achieve meaningful results.so please consider!