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