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ML Application · Jupyter Notebook

Spam-Classifier

What it is

This repository provides an end-to-end spam classification system that trains a MultinomialNB model on the SMS spam dataset and exposes predictions via a Streamlit web interface.

Scored at65366c79 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%
  • NLP & LLMs50%
  • Data Science20%
  • 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.

Strengths3

  • End-to-end functional spam classifier with a web interface
  • Notebook includes exploratory data analysis and visualizations
  • Clear setup instructions and pinned dependencies

Limitations

The owner keeps this project's limitations private.

Around it on the Machine Learning board

Whole board
  1. 105, shared rankconstelatiileserifului-ML Application · Jupyter Notebook45.6/100Implementationvlad andrei
  2. 105, shared rankSignal-DetectionML Application · Jupyter Notebook45.6/100ImplementationSuceveanu Mircea Dan Sandu
  3. 107Spam-ClassifierML Application · Jupyter Notebook44.8/100Implementationkamran akmal
  4. 108drone-position-clusteringML Application · Jupyter Notebook44.6/100ImplementationPop Alexandru
  5. 109Neural-Cryptographic-Visual-Encoding-SystemTraining Experiment · Python44.1/100ImplementationSuceveanu Mircea Dan Sandu

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