[Code Addition Request]: Predicting Equipment Failure using Classification Models and Feature Selection

[SamridhiAhuja2075]

Have you completed your first issue?

• [x] I have completed my first issue

Guidelines

• [x] I have read the guidelines
• [x] I have the link to my latest merged PR

Latest Merged PR Link

https://github.com/UTSAVS26/PyVerse/pull/1414

Project Description

I want to create a project that uses machine learning classification models to predict equipment failure based on sensor and operational data. The dataset is available on Kaggle, with 10,000 rows and 14 features. I will include EDA and apply feature selection using RFE, PCA, and SelectKBest before training models like Random Forest, Logistic Regression, and SVM.

Full Name

Samridhi Ahuja

Participant Role

SSOC'25 Contributor

[github-actions[bot]]

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[Gracee-b]

Hi, I would like to work on this issue as a contributor for GSSoC 2025. Kindly assign it to me if it's available.