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Suprvised-Machine-Learning-for-Text-Classification
Suprvised-Machine-Learning-for-Text-Classification PublicThis project successfully executes the Random Forest algorithm for classifying text data into pre-defined categories with an accuracy of 98%.
Python 1
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Genetic-Algorithm-for-automated-hyperparameter-tuning
Genetic-Algorithm-for-automated-hyperparameter-tuning PublicGenetic algorithm for hyper parameter tuning of a deep Neural Network using Tensorflow
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Text-Generation-using-RNN
Text-Generation-using-RNN PublicText generation using Recurrent Neural Networks by training them on scraped positive and negative product reviews of Amazon to generate wholly new and original sequences of words
Jupyter Notebook 1
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Graph-Analytics-using-Graphframes
Graph-Analytics-using-Graphframes PublicComprehensive analysis of Twitter data using Graph algorithms like indegree/outdegree, motifs, label propogation, page rank, community detection, etc.
Jupyter Notebook 1
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Sentence-similarity-using-word-vectors-and-LP
Sentence-similarity-using-word-vectors-and-LP PublicAlgorithm to calculate sentence similarity as a linear optimization problem using Gurobi
Jupyter Notebook
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Document-clustering-using-unspervised-learning
Document-clustering-using-unspervised-learning PublicText analytics using unsupervised learning (K-means clustering)
Python 2
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