Small Projects

This section contains short, focused computational projects designed to support mathematical understanding and skills through coding. These projects are ideal for classroom assignments or individual practice.

Each notebook targets a core mathematical concept and implements it using Python.

Included Projects

• Principal Component Analysis (4 hours of work)

• Gradient Descent and Optimization (4 hours of work)

• Linear Transformations and Matrices (4 hours of work)

• Singular Value Decomposition (SVD) (5 hours of work)

• Population Dynamics and Sustainability (5 hours of work)

• Neural Networks and Digital Images (5 hours of work)

• Graphs and Networks (4 hours of work)