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ML Models from Scratch

·55 words

Overview #

ML Models from Scratch is a collection of classic machine learning models implemented without high-level libraries like Scikit-Learn or TensorFlow.

Features #

  • Implementation of basic and advanced ML algorithms.
  • No external ML libraries used.
  • Educational resource for learning ML concepts.

Technologies Used #

  • Python
  • NumPy
  • Matplotlib

Repository #

GitHub - ML models built from scratch