ML Application · Jupyter Notebook

Student_score_prediction

kamran akmal@kamranakamal · Atlas 61.6 · #19= builder

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What it is

This repository provides an end-to-end machine learning application for predicting student math scores. It includes a training pipeline (data ingestion, transformation, model training) and a deployed inference system via FastAPI and Streamlit, containerized with Docker.

Scored at3cf569d9 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

Machine Learning90%
Data Science70%
MLOps30%

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.

Strengths4

Clear separation of concerns in the codebase (data, model, API, UI).
Provides both local and Docker deployment instructions for ease of use.
Includes an exploratory data analysis notebook for understanding the dataset.
Evaluates multiple models and performs hyperparameter tuning to select the best performer.

Limitations

The owner keeps this project's limitations private.

Around it on the Machine Learning board

Whole board

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