Revision of probability and discrete distributions.
Notes on Matrices. Matrix multiplication, Transpose, Range, rank, Null space, Determinant
Notes on vectors and their properties. Explains spans, subspaces, dot products, basis, norms etc.
This blog talks about handling imbalance in data for classification using different sampling methods.
A review on the BAI executive course at IIM Bangalore.
Discussing the theory behind ANN and the math behind back-propagation.
Step by step explanation of CART decision tree classification using Titanic dataset.
Explaining the curse of dimensionality using a relevant example