Machine-Learning

This repository implements most of the machine learning algorithm as ipython notebooks. The implemented algorithms so far are

Regression

• Linear regression using normal equations
• Linear regression using SGD
• Locally Weighted Regress (LOWESS)

Classification

• Logistic regression classifier
• softmax classifier

Optimization methods

• Newton

Deep Learning

• MNIST training Pytorch
• Pretrained model resnet for ImageNet Pytorch
• Transfere Learning Pytorch
• Multi-input CNN Pytorch