Personal Projects

Pet Classification

Implemented code for a machine learning pipeline that determines whether a 64Ă—64 image is a cat or dog. Several approaches were used to distinguish between images, such as: closest average, nearest neighbor, linear regression.

Example#1

Dog average

Example#2

Cat average

Convolutional neural network method for better accuracy

Training Accuracy: 97.8

Test Accuracy: 97.25