Fundamentals of Computational Intelligence TA Class Repository 🤖📚💡

Welcome to the Fundamentals of Computational Intelligence course repository! This repository contains curated materials for an introductory course on computational intelligence, designed to provide you with a solid foundation in machine learning concepts and algorithms. Whether you're a student in our TA-led classes at Ferdowsi University of Mashhad (FUM) or an enthusiastic learner, we're here to guide you through the exciting world of machine learning.

Table of Contents

• Overview
• Getting Started
• Repository Structure
  • Unsupervised Learning
  • Decision Trees
  • Support Vector Machines
  • Perceptron
  • Multilayer Perceptron
  • Convolutional Neural Networks (CNN)
  • Natural Language Processing (NLP)
  • Ensemble Classifiers
• How to Contribute
• Contact Me

Overview 👀

This course covers a wide range of topics in Machine Learning, including unsupervised learning, decision trees, support vector machines, perceptron, multilayer perceptron, convolutional neural networks (CNN), natural language processing (NLP), and ensemble classifiers. Each section includes lectures and assignments, providing a comprehensive guide to machine learning concepts and algorithms.

Getting Started 🚀

1. Clone the Repository:

   git clone https://github.com/afsharino/Computational-Intelligence.git

2. Navigate to Specific Sections:

   cd Computational-Intelligence

3. Explore the Content:

   • Review lectures and assignments in each section.

Repository Structure 📂

• 📁 Computational-Intelligence

  • 📄 README.md

  • 📁 Contents

    • 📁 unsupervised-learning
      • 📁 Lectures
      • 📁 Assignments
    • 📁 decision-trees
      • 📁 Lectures
      • 📁 Assignments
    • 📁 support-vector-machines
      • 📁 Lectures
      • 📁 Assignments
    • 📁 perceptron
      • 📁 Lectures
      • 📁 Assignments
    • 📁 multilayer-perceptron
      • 📁 Lectures
      • 📁 Assignments
    • 📁 cnn
      • 📁 Lectures
      • 📁 Assignments
    • 📁 nlp
      • 📁 Lectures
      • 📁 Assignments
    • 📁 ensemble-classifiers
      • 📁 Lectures
      • 📁 Assignments

How to Contribute 🤝

We welcome contributions! Whether it's fixing a typo or adding new content, Simply open a pull request, and upon review, we'll merge it into the repository if it aligns with our standards.

Contact Me 📬

Your feedback is valuable! Feel free to reach out with questions, suggestions, or concerns by contacting to me on Telegram at @afsharino.

Happy coding! 🚀