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University of Waterloo
- Waterloo
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graph-based-semi-supervised-learning
graph-based-semi-supervised-learning PublicThis project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniques such as ITML and LMNN along with a few others are empiric…
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Tic-Tac-Toe-Using-Alpha-Beta-Minimax-Search
Tic-Tac-Toe-Using-Alpha-Beta-Minimax-Search PublicThis code demonstrates the use of Alpha Beta Pruning for Game playing. Since, Tic Tac Toe has a depth of 9 , I use a heuristic function that evaluates the Board State after searching through a dept…
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ensemble-of-sarima-random-forests-and-gradient-boosting-trees
ensemble-of-sarima-random-forests-and-gradient-boosting-trees PublicIn this Project I use the Kaggle Bike sharing dataset to predict the sales of bike given a Multivariate Time series. I model the multivariate data using ensemble of Random Forests and Gradient Boos…
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genetic-algorithm-for-cnn
genetic-algorithm-for-cnn PublicThis project tunes a Convolutional Neural Network using a genetic algorithm for Image Classification.
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Machine-learning-algorithms
Machine-learning-algorithms PublicSMO algorithim for training support vector machines,Independent component analysis,Principal Component analysis
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Viterbi-algorithm
Viterbi-algorithm PublicThe Viterbi algorithm is tagging algorithm based on TRIGRAM HIDDEN MARKOV MODELS (TRIGRAM HMMS)
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