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Logistic Regression from Scratch

Learning Objectives

  • Sigmoid Activation Function
  • Cross-Entropy Loss
  • Gradient Descent for classification

Weekly Outcome

By the end of this module you will be able to implement fundamental machine learning algorithms like Linear Regression, Logistic Regression, and K-Means clustering using only NumPy, demonstrating a deep understanding of their underlying mathematical principles.