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Logistic Regression from Scratch
Learning Objectives
- •Sigmoid Activation Function
- •Cross-Entropy Loss
- •Gradient Descent for classification
Module 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.
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