🤖 Machine Learning Practice Repository

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📌 Overview

This repository contains my personal practice work in Machine Learning and Image Processing.
It includes Jupyter notebooks, experiments, and solutions to practice problems that help me strengthen my understanding of core ML concepts.

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📂 Contents

• 📓 Jupyter Notebooks (.ipynb)
• 🧠 Machine Learning practice problems
• 📊 Data preprocessing and visualization
• 🔍 Model training and experimentation
• 🧪 Small experiments and concept testing

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🎯 Purpose

• Practice and improve ML skills
• Implement concepts learned in coursework
• Experiment with different algorithms and techniques
• Build a strong foundation in data science and deep learning

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🛠️ Tools & Technologies

• Python
• NumPy, Pandas
• Matplotlib, Seaborn
• Scikit-learn
• TensorFlow / PyTorch
• OpenCV

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🚧 Status

This is an active learning repository.
Content is regularly updated as I continue practicing and exploring new topics.

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📌 Note

This repository is intended for learning and practice purposes only.
Projects here may be incomplete, experimental, or unoptimized.

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