lucashueda / unicamp

Projects from Applied Math Undergraduate

Projects from Applied Math Undergraduate at UNICAMP (Brazil)

Along my undergraduate i did a few code based projects and here you can find the most relevant ones in my data scientis formation.

Overview on projects

• MS512 - Numerical Analysis
  • Cholesky Fatoration (Python)
  • Householder transformation fatoration (Python)
  • Gram Schmdit fatoration (Python)
• MC886 - Machine Learning
  • Linear regression implemented (Python)
  • Topic modelling with LDA (Python)
  • Image recognition (Python)
• MS960 - Image algebra
  • Local binary pattern (Matlab)
  • KNN for texture recognition (Matlab)
• MS629 - Non linear optimization
• MS416 - Mathematical models applied to economy
  • Market analysis with covariance matrix (Python + Matlab)
• MC302 - Data structures
• MS980 - Mathematical models applied to ecology
  • Finite difference method 2D (Matlab)
  • Finite elements method 2D (Matlab)
• MS428 - Linear Programming
  • Simplex implementation (Octave)
• MS529 - Network flows
  • Minimum flow in graph

@author Lucas Hideki Ueda