Summary#

Deep experience with NumPy for numerical computing, particularly implementing machine learning algorithms from scratch. Core tool for building neural networks without frameworks, demonstrating understanding of the underlying mathematics rather than just API calls.

How I Apply This Skill#

• Implemented Echo State Network using only NumPy (no ML frameworks)
• Built matrix operations for neural network forward/backward passes
• Performed linear algebra operations: matrix multiplication, decomposition
• Implemented gradient-based optimization with array operations
• Created vectorized computations replacing slow Python loops

Key Strengths#

• Linear Algebra: Matrix operations, decomposition, eigenvalue computation
• ML from Scratch: Neural networks using only array operations
• Vectorization: Efficient computations without explicit loops
• Broadcasting: Automatic array shape alignment for operations
• Memory Efficiency: Working with large numerical datasets

Related Projects#

• Echo State Network - Neural network from scratch
• Long COVID Prediction - Feature engineering