A formatted IPython notebook to try out different machine learning based approaches for face classification on different datasets. Datasets used:

• Yale face database
• Indian Movie Face Database
• IIIT Cartoon Face Database

The six features used include:

• PCA/Eigen face
• Kernel PCA
• LDA/Fisher face
• VGGFace
• ResNet

Different classifiers used include MultiLayer Perceptron, Support Vector Machine, Logistic Regression, and Decision Trees.

Requirements:

• sklearn
• pandas
• numpy
• scipy