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1. graph-based-semi-supervised-learning graph-based-semi-supervised-learning Public

   This 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…

   Python 14 11

2. Tic-Tac-Toe-Using-Alpha-Beta-Minimax-Search Tic-Tac-Toe-Using-Alpha-Beta-Minimax-Search Public

   This 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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3. ensemble-of-sarima-random-forests-and-gradient-boosting-trees ensemble-of-sarima-random-forests-and-gradient-boosting-trees Public

   In 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…

   Jupyter Notebook 9 4

4. genetic-algorithm-for-cnn genetic-algorithm-for-cnn Public

   This project tunes a Convolutional Neural Network using a genetic algorithm for Image Classification.

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5. Machine-learning-algorithms Machine-learning-algorithms Public

   SMO algorithim for training support vector machines,Independent component analysis,Principal Component analysis

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6. Viterbi-algorithm Viterbi-algorithm Public

   The Viterbi algorithm is tagging algorithm based on TRIGRAM HIDDEN MARKOV MODELS (TRIGRAM HMMS)

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