SemesterProject repository
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Updated
Jun 29, 2015 - Python
SemesterProject repository
Language Invariant Optical Character Recognition
Coclust: a Python package for co-clustering
Gaussian mixture modelling - Unsupervised learning
Unsupervised machine learning algorithms implemented on a simple dataset.
Udacity's Machine Learning Engineer Nanodegree - Project 3: Creating Customer Segments
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Implementation of supervised and unsupervised Machine Learning algorithms in python from scratch!
Udacity - Machine Learning - Project 3 (Unsupervised Learning) - Creating Customer Segments - Submit Files Only - Passed Wed 29 Nov 2017
Disentangling Motion, Foreground and Background Features in Videos
Simulation of K-means Clustering algorithm using P5.JS
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, checked predictions against the result of unsupervised analysis.
Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python
This repository contains all the Machine Learning and Deep Learning projects that I worked on, spans across the two sub domains of Artificial Intelligence i.e., Computer Vision and Text Processing as a part of Machine Learning Nano Degree program at Udacity.
This repository consists of the unsupervised clustering techniques to used to develop a social networking platform in an educational institute.
Paper for the AMTA 2018 LoResMT workshop
Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
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