Strengths3
- Clear documentation and code comments.
- End-to-end ML application from training to deployment via Streamlit.
- Uses appropriate libraries for the task.
ML Application · Python
Student_placement_classifier
What it is
This repository provides an end-to-end machine learning application for predicting student placement using a Logistic Regression model, complete with a Streamlit web interface for inference and a training script that preprocesses data, trains the model, and saves artifacts.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning90%
- Data Science50%
- MLOps10%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
Around it on the Machine Learning board
Whole board- 131raindrop-ai-navigatorML Application · TypeScript37.6ExplorationtaminaMachine Learning
- 132Rapper-Toon-SheetML Application · TypeScript36.6ExplorationMaster MindMachine Learning
- 133Student_placement_classifierML Application · Python34.9Explorationkamran akmalMachine Learning
- 134Azure-DP-100-Data-Scientist-Study-GuideEducational Implementation34.6ExplorationIñigoMachine Learning
- 135AI_NotebooksEducational Implementation · Jupyter Notebook34.5ExplorationPop AlexandruMachine Learning
