Machine-Learning

Fundamental Machine Learning Codes

1. EM.py -- EM algorithm on Mixture of Gumbel and Gaussian Distribution.
2. curse.py -- The curse of dimensionality in Machine Learning.
3. gumbel.py -- Estimating paramters of a Gumbel Distribution using Newton Raphson method.
4. gradientsse.py -- Linear regression using Sum of squared errors.
5. gradientdist.py -- Linear regression using distance of a point from a plane.
6. logistic.py -- Logistic Regression and PCA with and without normalization for 3 datasets.
7. neural.py -- Feed Forward Neural Network for 2 abstract concepts.

Learned Concept 1 and 2 Heat Maps: