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25 min
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NumPy for Machine Learning

Master NumPy arrays, vectorised operations, linear algebra, and random number generation for ML

NumPy for Machine Learning

NumPy is the foundation of scientific computing in Python. Almost every ML library is built on top of it.

Why NumPy?

  • Speed — Operations on arrays are 100x faster than Python loops
  • Broadcasting — Apply operations across arrays of different shapes
  • Linear Algebra — Matrix operations essential for ML algorithms

Creating Arrays

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Essential Operations for ML

Vectorised Math (No Loops!)

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Statistical Functions

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Matrix Operations

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Indexing and Slicing

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Boolean Indexing (Used in Data Filtering)

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Try It Yourself

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