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predict_adoption_speed_petfinder
predict_adoption_speed_petfinder PublicResearch work to predict adoption speeds for pets using Natural Language Processing pipeline followed by svm, dtree and deep neural network classifiers. Final Report can be seen at Data_Mining_Fina…
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named-entity-recognition-nlp-purdue
named-entity-recognition-nlp-purdue PublicResearch work to solve the problem statement of named entity recognition using deep max entropy markov model.
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collaborativeFilteringSVD
collaborativeFilteringSVD PublicResearch work to implement collaborative filtering using SVD (Alternating least squares method), stochastic gradient descent (FunkSVD), SVD++, Asymmetric SVD. The dataset used is movielens dataset.
Jupyter Notebook 1
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mnist_digit_recognize
mnist_digit_recognize Public10 perceptron ensemble model to accurately determine hand written digits from MNIST dataset http://yann.lecun.com/exdb/mnist/. The repo also includes a winnow algorithm for the same task.
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gradient_descent_logistic_regression_mnist
gradient_descent_logistic_regression_mnist Publicmulti class classifier for mnist data set using logistic loss function and batch gradient descent; stochastic gradient descent
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intrusion_detection_kdd
intrusion_detection_kdd Publicdetect anomalies in the network using machine learning models on KDD Dataset
Jupyter Notebook 1
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