Probability and discrete distributions
Revision of probability and discrete distributions.
Linear Algebra – Matrices
Notes on Matrices. Matrix multiplication, Transpose, Range, rank, Null space, Determinant
Linear Algebra – Vectors
Notes on vectors and their properties. Explains spans, subspaces, dot products, basis, norms etc.
Handling imbalanced classes
This blog talks about handling imbalance in data for classification using different sampling methods.
IIMB Business Analytics and Intelligence
A review on the BAI executive course at IIM Bangalore.
The math behind ANN (ANN- Part 2)
Discussing the theory behind ANN and the math behind back-propagation.
CART classification
Step by step explanation of CART decision tree classification using Titanic dataset.
Curse of dimensionality
Explaining the curse of dimensionality using a relevant example
CHAID decision trees
Step by step explanation of CHAID decision trees using the Titanic data set
K means clustering
K means clustering explained using customer segmentation in R. Touches on Silhouette statistic, Calinski and Harabasz index and Elbow curve.