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noah-kg/README.md

Welcome to my GitHub! 😀

My name is Noah Gampe! This GitHub will serve as my project portfolio for my aspiring career as a Data Analyst/Scientist. I hope you will find my projects easy-to-understand, aesthetically pleasing, and curiously interesting. I had a lot of fun putting them together! I performed extensive research and gone down multiple rabbit holes on numerous topics to fully understand what goes into a data science project.

  • 🔭 I’m currently working on putting my Data portfolio together!
  • 🌱 I’m currently learning as much as I can about Data Analytics, Data Science, & Machine Learning!
  • 👯 I’m looking to collaborate on any curious passion projects that might benefit from my skills!
  • 💬 Ask me about Photography, Mechanical Keyboards, or Bouldering!
  • 📫 How to reach me: LinkedIn
  • ⚡ Fun fact: I lived in South Korea for 6 years! Just moved back to California in November 2021!
  • ⚡ Fun fact #2: I have a B.S. in Computer Engineering!

Pinned

  1. scraping-IFSC-website-via-selenium scraping-IFSC-website-via-selenium Public

    A project to scrape information from various World Cup climbing competitions from the official IFSC website using Selenium WebDriver.

    Jupyter Notebook 2

  2. english-stack-exchange-analysis english-stack-exchange-analysis Public

    A look into the English Stack Exchange to try and identify the biggest problem areas for English learners.

    Jupyter Notebook 1

  3. sql-business-analysis sql-business-analysis Public

    A fictional music company has asked us to analyze their database to see where we can improve and maximize profits.

    Jupyter Notebook

  4. goodreads-book-recommendations goodreads-book-recommendations Public

    System implementing collaborative filtering to recommend books based on user preference.

    Jupyter Notebook

  5. predicting-wine-quality predicting-wine-quality Public

    Using machine learning to predict/classify the quality of a given wine.

    Jupyter Notebook

  6. predicting-seoul-bike-rentals predicting-seoul-bike-rentals Public

    Exploring and analyzing data related to bike rentals in Seoul, South Korea. Applying machine learning methods to help predict rental counts.

    Jupyter Notebook