Machine Learning Course Assignments

1. Predicting goodness points of a wine given its review using Ridge Regression.
   
2. Classify between hand/not-hand images using Logistic Regression.
   
3. Classify between upper-body image patches from non-upper-body patches using SVM.
   
4. SVMs with different kernels to classify scenes.
   
5. Train CNN to classify images and train a 3D CNN to classify videos using Pytorch.
   
6. Train GAN on MNIST dataset to generate images using PyTorch.
   
7. Train LSTM+CNN Hybrid to classify human actions.