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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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Mr-Mens/README.md
  • 👋 Hi, I’m @Mr-Mens (Philip Mensah)
  • 👀 I’m interested in Data Science, Artificial Intelligence and Project Management
  • 🌱 I’m currently undertaking a MSc in AI and Data Science
  • 💞️ I’m looking to collaborate on data science/analysis, AI / ML and python projects.
  • 📫 You can reach me through email: [email protected]
  • 😄 Pronouns: He/Him
  • ⚡ Fun fact: I'm a Python wizard by self-education! 🐍✨"

Programming Language

Python MySQL Matlab

Other

ApacheSpark CSS HTML Pandas Tableau Powerbi Adobe Photoshop

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  1. Analyzing-Wikipedia-Clickstreams-with-PySpark-Project Analyzing-Wikipedia-Clickstreams-with-PySpark-Project Public

    This project focuses on analyzing Wikipedia's clickstream data to uncover patterns in how users navigate from one article to another. Utilizing Apache Spark and PySpark for data manipulation and an…

    Jupyter Notebook

  2. Big-Data-Course-Work Big-Data-Course-Work Public

    In this project, we aim to explore and analyze large datasets using various big data technologies and techniques. Our goal is to gain insights and extract valuable information from the data to solv…

    HTML

  3. IBM-Machine-Learning-Final-Project IBM-Machine-Learning-Final-Project Public

    Welcome to the GitHub repository for my "Classification with Python" final Machine Learning Project Work. In this project, I explore a variety of classification techniques to predict next-day rainf…

    Jupyter Notebook

  4. Machine-Learning-Clustering-Project Machine-Learning-Clustering-Project Public

    This project utilizes machine learning to identify clusters within a dataset related to heatstroke risk factors. Specifically, it focuses on two main features: heart rate variability mean (hrv_mean…

    Jupyter Notebook

  5. Medical-Insurance-Data-Analysis-Project Medical-Insurance-Data-Analysis-Project Public

    In this project, I embarked on an exploratory journey through a dataset of U.S. medical insurance costs, aiming to uncover insights into the factors that influence these costs.

    Jupyter Notebook

  6. NLP-Machine-Learning NLP-Machine-Learning Public

    This tutorial introduces basic Natural Language Processing (NLP) techniques using PySpark. The focus is on preprocessing text, converting text into numerical form, and applying a regression classif…

    Jupyter Notebook