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  1. This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.

    Python 50 31

  2. This repository consists of application of Speech Denoising using DNN, CNN (1D and 2D) and RNN (LSTM) in tensorflow.

    Jupyter Notebook 11 8

  3. This repository consists of application of Deep Learning Models like DNN, CNN (1D and 2D), RNN (LSTM and GRU) and Variational Autoencoders written from scratch in tensorflow.

    Jupyter Notebook 2 2

  4. This repository consists of work done in Machine Learning and Signal Processing. Machine Learning Stage consists of: * K-means * Expectation Maximization * Principal Component Analysis (PCA) * Mixt…

    Python 22 7

  5. This repository consists of comparison between two LDA algorithms (EM and Online) in Apache Spark 'mllib' library and also finding the best hyper parameters on YELP dataset.

    Java 3 1

  6. Implemented several algorithms like Kmeans, Dijkstra's algorithm, graph is 3-colorable or not, even/odd length graph path, topological sort, Hamiltonian cycle, etc. in PostgreSQL.

    PLpgSQL

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December 2022

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