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SMSesay/README.md

Hi there, I'm Martin and Welcome to my Github

I'm a Sport Science and Computer Science graduate

  • Programming languages currently learning Python, R and everything Data Science
  • Programming languages I'm working with PL/SQL and Python
  • Looking to collaborate on Data science, analysis or engineering projects
  • 2024 Goals:
    • Contribute to the Sport Analytics and Data Science community
    • Attend a conference/workshop in Data Analytics community
    • Earn a qualification or certificate in Sport analytics community
    • 5 Starred projects
  • Fun Fact: I love playing the beautiful game ⚽

Connect with me:

Languages and Tools:

[Python] [Python] [Python]

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Pinned

  1. Football Football Public

    This repository will be looking at Football doing a range of different activities with football data this will include Exploratory Data Analysis, Data visualization, Web scraping, machine learning …

    Jupyter Notebook 3

  2. Pokemon Pokemon Public

    This repository consists of a dataset on the popular Anime Pokemon in the CSV format, with this dataset I perform an Exploratory Analysis on the data on top of applying data science algorithms on t…

    Jupyter Notebook

  3. NBA NBA Public

    This repository will look at analysing data on the NBA and using this data to both create useful insights and interesting visualizations

    Jupyter Notebook

  4. NFL NFL Public

    This repository will include data on the NFL in which I will take a deep dive into data about the games, Jupyter Notebook and Python will be used in this repository.

    Jupyter Notebook

  5. Formula_1 Formula_1 Public

    The focus of this repository is on Formula 1 data which consists of data on drivers, circuits, constructors etc. Python and its many libraries will be used to analyse and explore this data set.

    Jupyter Notebook

  6. YT-API YT-API Public

    This repository will be making analysis on Youtube data, the data will be coming straight from the Youtube Data API, so will demonstrate how to access the API and the kind of data the API contains …

    Jupyter Notebook