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A collection of notebooks from my applied AI minor, featuring projects in machine learning, deep learning, and a neural network built from scratch.

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ml-dl-projects

This repository contains a series of Jupyter notebooks that demonstrate various applied AI concepts. The projects cover machine learning, deep learning, and building a neural network from scratch as part of my minor in applied AI.

We were instructed to cover a wide range of topics in AI, encompassing approximately 50 different areas. However, the implementation of these projects was left open-ended, allowing for creative freedom in their development, meaning that the projects below are my own ideas and implementations.

Projects

Note that when viewing the notebooks on GitHub, that the links which navigate inside notebooks (Table of Contents + others) do not work.

Machine Learning

Deep Learning

Neural Network From Scratch

Setup

To run the notebooks locally (though they can be viewed directly on GitHub), follow these steps:

  1. Clone the repository:
    git clone https://github.com/yourusername/ml-dl-projects.git
    cd ml-dl-projects
  1. Create a virtual environment (Optional but recommended as per PEP 405):
    python -m venv venv
    source env/bin/activate  # On Windows, use `.\env\Scripts\activate`
  1. Install the required packages:
    pip install -r requirements.txt
  1. Start Jupyter:
    jupyter notebook

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A collection of notebooks from my applied AI minor, featuring projects in machine learning, deep learning, and a neural network built from scratch.

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