Introduction
  • Introduction
Regression
  • Introduction to Regression
  • RSS (Bivariate regression)
  • Graphical Intuition (Bivariate regression)
  • Minimising RSS (Bivariate regression)
  • Code along (Bivariate regression)
  • Solved example (Bivariate regression)
  • Multivariate Regression
  • Graphical Intuition (Multivariate regression)
  • Minimising RSS (Mulvariate regression)
  • Code along (Multivariate regression)
  • Solved example (Multivariate regression)
Support Vector Machines
  • Introduction SVM
  • Test data
  • Width expression
  • Minimising width expression
  • Code along (SVM)
  • Solved example (SVM)
  • Additional Notes
K nearest neighbours
  • K-nn introduction
  • Graphical Intuition (K-nn)
  • Formulating distance matrix
  • Code along (K-nn)
  • Solved example (K-nn)
Conclusion
  • Conclusion