shaharpit809

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

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

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.

shaharpit809/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.

shaharpit809/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

shaharpit809/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.

shaharpit809/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.

shaharpit809/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.

shaharpit809/Soldier-Workload-Classification

shaharpit809/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.

shaharpit809/DevConnector

shaharpit809/Diabetes-Prediction

shaharpit809/food-truck-finder

shaharpit809/Github-Visualization

shaharpit809/Indy-Big-Data-Visualization-Challenge

shaharpit809/MLSP_Audio

Source Separation and Sentiment Analysis

shaharpit809/shaharpit809.github.io

shaharpit809/trucker

shaharpit809/webpage-keyword-crawler

shaharpit809/Yelp-Dataset-Challenge