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advanced-database-concepts

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.

audio-sentiment-analysis

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.

deep-learning-models

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.

devconnector

diabetes-prediction

food-truck-finder

github-visualization

indy-big-data-visualization-challenge

latent-dirichlet-allocation-lda-on-yelp-dataset-using-apache-spark

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.

machine-learning-for-signal-processing

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) * Mixture Models * Hidden Markov Models (HMM) * Graphical Models * Gibbs Sampling * Manifold Learning * Hashing Signal Processing Stage consists of : * Source Separation * Stereo Matching * Audio Processing * Fourier Transform * Brain Waves * Keyword Detection * Sentiment Analysis * Music Signal Processing * Image Segmentation

mlsp_audio

Source Separation and Sentiment Analysis

shaharpit809.github.io

soldier-workload-classification

speech-denoising-using-dnn-cnn-and-rnn

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

trucker

webpage-keyword-crawler

yelp-dataset-challenge