This repository implements most of the machine learning algorithm as ipython notebooks. The implemented algorithms so far are
- Linear regression using normal equations
- Linear regression using SGD
- Locally Weighted Regress (LOWESS)
- Logistic regression classifier
- softmax classifier
- Newton
- MNIST training Pytorch
- Pretrained model resnet for ImageNet Pytorch
- Transfere Learning Pytorch
- Multi-input CNN Pytorch