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ML Computer Vision Projects πŸš€

This repository contains a collection of Machine Learning and Computer Vision projects built to solve real-world problems using data-driven approaches.

πŸ” What’s Included

  • Image Classification using Machine Learning
  • Feature Engineering (GLCM, statistical features)
  • Model Training & Optimization (Random Forest, SVM)
  • Handling Large Datasets (10k+ images)
  • Dimensionality Reduction (PCA)
  • Interactive Web Apps using Streamlit

🎯 Goal

To build practical, industry-level machine learning applications with a focus on performance, usability, and real-world deployment.

πŸ›  Tech Stack

  • Python
  • OpenCV
  • Scikit-learn
  • NumPy, Pandas
  • Streamlit

πŸ“Œ Projects

  • Skin Cancer Classification App (ML + Streamlit)
  • (More projects coming soon...)

⚠️ Note: Datasets are not included due to size limitations. Links are provided inside each project.

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A collection of Machine Learning and Computer Vision projects including real-world image classification, feature engineering, and interactive AI applications built using Python and Streamlit.

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