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
Example#1
Dog average
Example#2
Example#2
Cat average
Convolutional neural network method for better accuracy
Convolutional neural network method for better accuracy
Training Accuracy: 97.8
Test Accuracy: 97.25