🧠 Machine Learning Projects Repository

Welcome to my Machine Learning Projects repository! This repo contains various ML projects that I have worked on during my graduate studies and beyond. The projects cover a wide range of topics, from traditional data science models to AI applications involving unstructured data such as images, videos, and text.

📂 Project Organization

Each project is structured as a separate folder, following a numerical system for easy navigation:

• 1.x - Traditional Machine Learning (Data Science)

  • Includes projects related to structured data, tabular datasets, and classical ML techniques.
  • Examples: Regression, Classification, Time Series Forecasting, Feature Engineering.

• 2.x - AI for Unstructured Data (Images, Videos, Text)

  • Focuses on Deep Learning, Computer Vision, Natural Language Processing, and advanced AI models.
  • Examples: Object Detection/Classification/Counting, Text Summarization, Video Analysis, and 3D Point Cloud Processing.

🛠 Technologies Used

• Traditional ML: Scikit-learn, Pandas, NumPy, XGBoost, etc.
• Deep Learning: PyTorch, TensorFlow, OpenCV, Hugging Face, etc.
• Other Tools: SQL, Flask, FastAPI, Docker, etc.

🚀 How to Use

1. Clone the repository:

   git clone https://github.com/your-username/ml-projects.git