Why and where to pursue masters in data science part-time.
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.
Discussing the theory behind ANN and the math behind back-propagation.
First among the series of blogs on ANN. Implemented ‘AND-gate’ logic as an ANN from scratch.
Step by step explanation of CART decision tree classification using Titanic dataset.