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  • πŸ‘‹ Hi, I’m @Oluwadara-Adepoju

  • πŸ‘€ I’m interested in Data science( Research and Machine learning) and Public Health

  • 🌱 I’m currently learning full stack development, and i'm currently doing my masters degree.

  • πŸ’žοΈ I’m looking to collaborate on alot of healthcare related projects(not restricted to this)

  • πŸ“« How to reach me send me an email: [email protected] (yeah, i was a fan of james bond when i created this email).

    Here is my linkedin profile: https://www.linkedin.com/in/oluwadara-adepoju-279985162

Oluwadara Adepoju's Projects

wid-datathon-2020 icon wid-datathon-2020

he WiDS Datathon 2022 focuses on a prediction task involving roughly 100k observations of building energy usage records collected over 7 years and a number of states within the United States. The dataset consists of building characteristics (e.g. floor area, facility type etc), weather data for the location of the building (e.g. annual average temperature, annual total precipitation etc) as well as the energy usage for the building and the given year, measured as Site Energy Usage Intensity (Site EUI). Each row in the data corresponds to the a single building observed in a given year. Your task is to predict the Site EUI for each row, given the characteristics of the building and the weather data for the location of the building. You are provided with two datasets: (1) the training dataset where the observed values of the Site EUI for each row is provided and (2) the test dataset where we withhold the observed values of the Site EUI for each row. To participate in the Datathon, you will submit a solution file containing the predicted Site EUI values for each row in the test dataset. The predicted values you submit will be compared against the observed Site EUI values for the test dataset and this will determine your standing on the Leaderboard during the competition as well as your final standing when the competition closes.

womxn icon womxn

Building a machine learning model that predicts a woman’s level of risk of being victimized by a crime given basic information about her and her life.

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