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Neill-Erasmus/README.md

Neill Jean Erasmus

πŸ’₯ About Me

Driven and forward-thinking Computer Science student at Nelson Mandela University, with a strong passion for AI and machine learning. Equipped with a diverse skill set honed through academic pursuits and hands-on project experiences, as evidenced by my portfolio on GitHub.

I am deeply committed to leveraging technology to solve real-world challenges and drive positive change. Inspired by a dedication to innovation and excellence, I am constantly seeking to push the boundaries of what is possible in the field of AI and machine learning. With a keen understanding of the importance of user-centric design and a commitment to quality craftsmanship, I am well-positioned to contribute effectively to projects that demand both technical expertise and creative thinking.

As I embark on the next phase of my career journey, I am eager to apply my skills and passion to an organization that values innovation, collaboration, and a commitment to making a meaningful impact on the world through technology.

πŸš€ Skills

Programming Languages

  • Python
  • C#

Machine Learning

  • Regression
  • Classification
  • Clustering
  • Association Rule Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Dimensionality Reduction

Deep Learning

  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Self Organizing Maps
  • Boltzman Machines
  • Autoencoders

Artificial Intelligence

  • Q-Learning
  • Deep Q-Learning
  • Deep Convolutional Q-Learning
  • A3C (Asynchronous Advantage Actor-Critic)
  • Augmented Random Search

Computer Vision

  • Convolutional Neural Networks
  • Generative Adverserial Networks
  • Deep Convolutional Generative Adverserial Networks

🌱 Learning

Currently, I am really focused on improving my knowledge and practical ability in the areas listed in my skills section. I think it is important to keep learning because there's always more to know about everything. I believe that understanding things well is a constant journey, and I am working on not just being good but really understanding how everything works in the areas I am interested in.

Studies

I am currently pursuing my Bachelors Degree in Computer Science at Nelson Mandela University.

Udemy Courses

πŸ”­ Projects

Check out some of my more notable projects:

πŸ“« Contact

Let's connect! Feel free to reach out:

πŸ“ˆ GitHub Stats

Your GitHub Stats

πŸ† GitHub Trophies

Your GitHub Trophies

🀝 Let's Collaborate

I am interested on collaborating on any projects especially those that involve artificial intelligence!

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  1. kung-fu kung-fu Public

    I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.

    Python

  2. pacman pacman Public

    I developed and trained a deep convolutional Q-learning model to enable an agent to successfully solve the Pacman gym environment.

    Python

  3. lunar-lander lunar-lander Public

    Trained a Deep Q-Learning agent to autonomously land a lunar module in OpenAI's Gymnasium Lunar Lander environment.

    Python

  4. sugarcane-leaf-disease-detection sugarcane-leaf-disease-detection Public

    I developed and trained a convolutional neural network (CNN) to recognize diseases in sugarcane by analyzing images of the leaves.

    Jupyter Notebook 1

  5. ai-generated-art ai-generated-art Public

    I created and trained a DCGAN (Deep Convolutional Generative Adversarial Network) to produce artificial portraits using a dataset containing more than 6000 images.

    Python 2

  6. diabetes-classification diabetes-classification Public

    An artificial neural network-based model for diabetes prediction, leveraging machine learning techniques to analyze relevant health data and provide accurate predictions regarding the likelihood of…

    Jupyter Notebook