ML Lab

A repository to store the programming files of Machine Learning Lab course.

Contains:

• Hebb's rule implementation
• Perceptron neuron implementation
• Find S algorithm
• Candidate elimination algorithm
• Data visualization (getting started with matplotlib and seaborn)
• Bivariate Guassian distribution visualization (animation gif)
• K Means clustering (using CTypes module for distance calculations, available distances are: ['Euclidean', 'Manhattan', 'Minkowski', 'Supremum'].
• K Near Neighbours (update required)

Bivariate Guassian distribution visualizations

(May take some time to load due to high quality animations)

• Shifting mean

• Changing the Covariance matrix

K-Means clustering

• Clustering example GIF