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Implements a deep learning 🧠 model using TensorFlow to predict the most common type of tree cover 🌳 in a forest from cartographic variables πŸ—ΊοΈ. Training and predictions are made using a sample dataset πŸ“ˆ in CSV format.

Python 100.00%
artificial-intelligence deep-learning multiclass-classification pandas scikit-learn tensorflow

forest-cover-classifier's Introduction

Hi πŸ‘‹ My name is Isaac Cilia Attard

Computer Science Student

I am a full-time student at Goldsmiths, University of London. My main interests are low-level computing, artificial intelligence, and quantum computing, although I am open to many other things as well. I am compelled by the desire to bring order out of chaos and contribute to society through innovation.

  • 🌍  I'm based in Malta
  • 🧠  I'm learning TensorFlow, React.js, Qiskit
  • ⚑  I am an avid reader

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C C++ Java JavaScript Python C# HTML5 React CSS3 Bootstrap MySQL

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