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Hello, I'm Kyle Grattan! 👋

About Me

👨‍💻 I'm a Machine Learning & Web Development student based in Queenstown.
🌊 I also guide river surfing/riverboarding adventures during my free moments.
🥁 When I'm not diving deep into code or running rivers, I'm drumming.
📈 Passionate about continuous learning, collaboration, and making impactful contributions.

Preview My First Python Package

🛠️ Languages and Tools

  • 🌐 Next.js and App Router for seamless web development.
  • 🎨 Tailwind for stylish and efficient CSS design.
  • 📜 TypeScript for static typing in JavaScript.
  • 🐍 Python, with a special love for Pandas in data manipulation.

Kyle Grattan's Projects

machine-learning-starter-kit icon machine-learning-starter-kit

This repository is designed to be a one-stop solution for beginners and enthusiasts looking to dive into the world of machine learning using Python and the scikit-learn library.

nextjs-13-firebase-starter icon nextjs-13-firebase-starter

Starter template for building Next.js 13 applications with Firebase. It provides a solid foundation for developing modern web applications with server-side rendering, authentication, and real-time data synchronization.

pivotpal icon pivotpal

Pivot Pal is a Python toolkit designed to simplify and enhance data exploration and analysis. From providing a quick overview of datasets to detailed distribution analyses, it offers a range of tools tailored for various data insights by creating distribution tables in Notebooks.

react-appointment icon react-appointment

The React Appointment App is a simple, yet effective way to manage your appointments. This app is built using React, React Icons, and Tailwind CSS. Features Add and delete appointments View a list of all appointments Filter appointments by date Responsive design for mobile and desktop devices.

spotify-analysis icon spotify-analysis

In this notebook, we'll explore the Spotify 2023 dataset to understand the features that make songs popular and highly streamable.

uk-crime icon uk-crime

UK Street Crime Data Aggregation 🚓: Comprehensive aggregation and analysis of 19,000,000 street crimes across the UK from 2020-2023. Features data from various police forces, in-depth EDA, and key insights into crime patterns.

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