Skip to content

ML Application · Jupyter Notebook

PROJECT_ML_1

What it is

This repository provides an end-to-end machine learning application for estimating medical insurance premiums. It includes a CRISP-DM based training notebook, a FastAPI serving API with model inference, LIME explanations, customer segmentation, and a simple UI.

Scored at80ba70611 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 Learning85%
  • Data Science75%
  • MLOps25%

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

  • Complete end-to-end ML workflow from data preprocessing to model serving.
  • Includes model explanations (LIME) and customer segmentation for transparency.
  • Provides a working API and UI that can be run locally with clear instructions.
  • Includes API tests for basic validation of endpoints.

Limitations

The owner keeps this project's limitations private.

Around it on the Machine Learning board

Whole board
  1. 79, shared rankHermesConsoleML Application · Kotlin52.9/100ImplementationTacoTakumi
  2. 79, shared ranklxr-whitelistML Application · JavaScript52.9/100ImplementationMaster Mind
  3. 79, shared rankttb-label-verifierML Application · Python52.9/100ImplementationMichael Adams
  4. 79, shared rankViralCutterML Application · Python52.9/100ImplementationYudhis Pratama
  5. 79, shared rankPROJECT_ML_1ML Application · Jupyter Notebook52.9/100ImplementationMohamed Khayat

More from Mohamed Khayat