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Hello Earthling,

My name is Mustapha (pronounced moos-ta-fa not moo-fa-sa), and I am currently working and researching on:

  • Marketing Analytics:

    • Churn and uplift modeling

  • Analytics for fast paced sports: (:soccer: :basketball: :ice_hockey:)

    • Events detection.
    • Frame annotation.
    • Analysis of tracking and events data.

  • Healthcare AI:

    • Deep learning for medical diagnosis 🏥
    • Glaucoma diagnosis using the Retina Fundus Images for Glaucoma Analysis (RIGA) dataset 👁️

I enjoy talking about coding and new project ideas, so don't hesitate to say hi!

glaucoma

diagnosis

sports

Mustapha Unubi Momoh's Projects

apps_and_api icon apps_and_api

three applications: A blog API, A todo app, and a library application built with django REST framework, django , and django , respectively.

dall-e icon dall-e

PyTorch package for the discrete VAE used for DALL·E.

fastai icon fastai

The fastai deep learning library

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

predicting-auction-sale-price-ensemblesvsneuralnet icon predicting-auction-sale-price-ensemblesvsneuralnet

The performances of tree ensembles and neural networks on structured data are evaluated. In addition, the effectiveness of combining a neural networks and decision trees (such as random trees, histogram based gradient boosting, and neural networks) is investigated.

predicting-donors icon predicting-donors

You have been hired to deliver actionable insight to support a client who is a national charitable organization. The client seeks to use the results of a previous postcard mail solicitation for donors to improve outcome in the next campaign. You want to determine which of the individuals in their mailing database have characteristics similar to those of our most profitable donors. By soliciting inly these people, your client can spend less money on solicitation effort and more moneyb on chritable concerns.

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