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  1. I analysed Nigerian artist's performance using data from YouTube. This demonstrated a more data driven approach for awarding artists based on how fans related with their content

    Jupyter Notebook

  2. This project scrapes all historical Techcabal and Techpoint headlines back to when they launched, parses the pages to get headlines andUses regular expressions to extract information from each head…

    Jupyter Notebook 2

  3. This is the frontend of afriq.co. It shows a snapshot of some of the most promising startups in Africa

    JavaScript

  4. This project scraps news headlines and their publishing dates from four major news outlets and employs NLP methods to analyse bias in reporting comparing two political tenures

    Jupyter Notebook

  5. Machine learning notes

    Jupyter Notebook

  6. My personal website

    JavaScript

63 contributions in the last year

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Contribution activity

January - March 2019

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