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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.